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US20050088407A1 - Method and system for managing an interactive video display system - Google Patents

Method and system for managing an interactive video display system Download PDF

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Publication number
US20050088407A1
US20050088407A1 US10/973,335 US97333504A US2005088407A1 US 20050088407 A1 US20050088407 A1 US 20050088407A1 US 97333504 A US97333504 A US 97333504A US 2005088407 A1 US2005088407 A1 US 2005088407A1
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Prior art keywords
data
video
recited
spots
display system
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English (en)
Inventor
Matthew Bell
Russell Belfer
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DHANDO INVESTMENTS Inc
ECOMM INNOVATIONS, LLC
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Individual
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Priority to US10/973,335 priority Critical patent/US20050088407A1/en
Assigned to REACTRIX SYSTEMS, INC. reassignment REACTRIX SYSTEMS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BELFER, RUSSELL, BELL, MATTHEW
Publication of US20050088407A1 publication Critical patent/US20050088407A1/en
Priority to US12/417,588 priority patent/US8487866B2/en
Assigned to REACTRIX (ASSIGNMENT FOR THE BENEFIT OF CREDITORS), LLC. reassignment REACTRIX (ASSIGNMENT FOR THE BENEFIT OF CREDITORS), LLC. CONFIRMATORY ASSIGNMENT Assignors: REACTRIX SYSTEMS, INC.
Assigned to DHANDO INVESTMENTS, INC. reassignment DHANDO INVESTMENTS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: REACTRIX (ASSIGNMENT FOR THE BENEFIT OF CREDITORS), LLC
Assigned to INTELLECTUAL VENTURES HOLDING 67 LLC reassignment INTELLECTUAL VENTURES HOLDING 67 LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: DHANDO INVESTMENTS, INC.
Assigned to INTELLECTUAL VENTURES ASSETS 196 LLC reassignment INTELLECTUAL VENTURES ASSETS 196 LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: INTELLECTUAL VENTURES HOLDING 81 LLC
Assigned to ECOMM INNOVATIONS, LLC reassignment ECOMM INNOVATIONS, LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: INTELLECTUAL VENTURES ASSETS 196 LLC
Abandoned legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/16—Analogue secrecy systems; Analogue subscription systems
    • H04N7/173—Analogue secrecy systems; Analogue subscription systems with two-way working, e.g. subscriber sending a programme selection signal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25891—Management of end-user data being end-user preferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/414—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
    • H04N21/41415—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance involving a public display, viewable by several users in a public space outside their home, e.g. movie theatre, information kiosk
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4223—Cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/812—Monomedia components thereof involving advertisement data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the present invention relates to the field of visual electronic displays. Specifically, embodiments of the present invention relate to a self-contained interactive video display system.
  • Advertising is used to convey various types of information to an audience. To fully maximize the performance of an advertisement, it is desirable for the advertiser to be able to gather information regarding effectiveness of the advertisement(s). This effectiveness measure may comprise both how many people saw the advertisement, whether people paid attention to it.
  • data gathering is typically based on information related to where the advertisement is placed. For example, for a billboard advertisement, effectiveness may be measured by the amount of automobile traffic that passes the billboard.
  • effectiveness, or popularity may be based on popularity ratings for the television show during which the television commercial was aired. In this way, information regarding the popularity of an advertisement may be inferred based on the advertisement placement information.
  • Interactive video display systems allow real-time unencumbered human interactions with video displays. Natural physical motions by human users are captured by a computer vision system and used to drive visual effects.
  • the computer vision system usually uses images captured by a video camera as input and has software processes that gather real-time information about people and other objects in the interactive area viewed by the camera.
  • a method and system for managing an interactive video display system are described herein.
  • a plurality of video spots are displayed on the interactive video display system.
  • Data based on interactions with the interactive video display system corresponding to video spots of the plurality of video spots is gathered.
  • the interaction is determined according to person tracking.
  • the interaction is determined according to a foreground/background classification image.
  • the data includes information about what virtual objects displayed by the interactive video display system were interacted with.
  • the data includes information about a location of the interaction relative to a display of the interactive video display system.
  • the data may then be stored and may be used in managing presentation of the video spots.
  • the data is stored at a local memory of the interactive video display system.
  • the data is transmitted to an external computer system and is stored in a memory of the external computer system.
  • the display schedule of the plurality of video spots is adjusted based on analyzing data. In one embodiment, the display schedule is automatically adjusted based on the analysis. In another embodiment, the display schedule is manually adjusted based on the analysis.
  • FIG. 1A illustrates a projection interactive video display system in accordance with an embodiment of the present invention.
  • FIG. 1B illustrates a self-contained interactive video display system in accordance with an embodiment of the present invention.
  • FIG. 2 illustrates a system for managing an interactive video display system in accordance with an embodiment of the present invention.
  • FIG. 3 illustrates a process for managing an interactive video display system in accordance with an embodiment of the present invention.
  • the interactive video display system includes a vision system that captures and processes information relating to a scene.
  • the processed information is used to generate certain visual effects that are then displayed to viewers via an interactive display device. People are able to interact with such visual effects on a real-time basis.
  • FIG. 1A illustrates a projection interactive video display system 100 in accordance with an embodiment of the present invention.
  • Projection interactive video display system 100 uses a camera system 105 , an illuminator that illuminates surface 102 being viewed by camera 105 , a projector 110 that projects an image 120 onto the interactive space 115 of surface 102 , and a local computer (not shown) that takes as input the image of camera 105 and outputs a video image to projector 110 .
  • the local computer processes the camera 105 input to discern information about the position and movement of people (or moving objects)in the volume in front of surface 102 .
  • the local computer processes the camera 105 input to discern on a pixel-by-pixel basis what portions of the volume in front of surface 102 (e.g., interactive space 115 ) are occupied by people (or moving objects) and what portions of surface 102 are background.
  • the local computer may accomplish this by developing several evolving models of what the background is believed to look like, and then comparing its concepts of the background to what camera 105 is currently imaging. Components of the local computer that process camera 105 input are collectively known as the vision system.
  • Various embodiments of projection interactive video display system 100 and the vision system are described in co-pending U.S.
  • projection interactive video display system 100 is coupled to a remote computer system 130 .
  • remote computer system 130 is a remote server for collecting data gathered by projection interactive video display system 100 .
  • remote computer system 130 is configured to collect data gathered by multiple projection interactive video display systems 100 that are located in physically distinct locations. It should be appreciated that remote computer system 130 may be located in a different physical location than projection interactive video display system 100 .
  • FIG. 1B illustrates a self-contained interactive video display system 150 in accordance with an embodiment of the present invention.
  • Self-contained interactive video display system 150 displays an image onto display screen 155 , and uses a camera (not shown) to detect people and objects in interactive space 160 .
  • a local computer (not shown), also referred to as the image system, takes as input the image of the camera and outputs a video image to display screen 155 .
  • self-contained interactive video display system 150 is coupled to a remote computer system 170 .
  • remote computer system 170 is a remote server for collecting data gathered by self-contained interactive video display system 150 .
  • remote computer system 170 is configured to collect data gathered by multiple self-contained interactive video display systems 150 and/or projection interactive video display systems 100 ( FIG. 1A ) that are located in physically distinct locations. It should be appreciated that remote computer system 170 may be located in a different physical location than self-contained interactive video display system 150 .
  • FIG. 2 illustrates a system 200 for managing an interactive video display system in accordance with an embodiment of the present invention.
  • System 200 includes interactive video display system 210 (e.g., projection interactive video display system 100 of FIG. 1A or self-contained interactive video display system 150 of FIG. 1B ) and remote computer system 230 (e.g., remote computer system 130 of FIG. 1A or remote computer system 170 of FIG. 1B ).
  • Interactive video display system 210 includes display 212 , vision system 214 , video spot storage 216 , and data gathering module 218 .
  • display 212 , vision system 214 , video spot storage 216 , and data gathering module 218 are components of a computer system of interactive video display system 210 .
  • Remote computer system 230 includes data storage 232 , data analysis module 234 , and video spot schedule 236 . It should be appreciated that in various embodiments of the present invention, any or all of the components and functionality of remote computer system 230 may be local and included in interactive video display system 210 .
  • interactive video display system 210 presents a rich opportunity to gather data about interactions with and usage of the interactive displays. This data is gathered at data gathering module 218 , and is useful for many kinds of interactive contents and applications. In one exemplary embodiment, the data is useful for designing advertising contents 20 as it allows advertisers to analyze where and when their advertisements are most popular, thus, allowing them to adjust their advertisements and/or schedules accordingly.
  • the data may be analyzed locally by the same computer that handles vision system 214 .
  • interactive video display system 210 may be networked, allowing the data for one or more systems to be analyzed from remote computer system 230 .
  • the data from multiple systems may be pooled to increase the total amount of data or to identify differences between locations.
  • real-time information relating to the present and past positions of people viewed by a camera of vision system 214 or a separate camera can be determined.
  • additional information can be derived including, for example, the number of people on or near the display 212 , the time at which each person enters and leaves the display 212 (e.g., interactive area 115 of FIG. 1A ), and whether they are moving and interacting with the displayed image.
  • interactive video display system 210 such as, a floor or wall-projected interactive display, the boundaries of the display screen are known.
  • additional information about the people within display 212 can be derived.
  • specific information can be determined based on the number of people who are interacting with Interactive video display system 210 and the number of people who are mere spectators.
  • face-recognition systems it is also possible to gather demographic data such as gender.
  • the person tracking system may take the form of a face-tracking system, in which heads are counted and tracked instead of entire bodies.
  • a variety of person-tracking processes exist. These processes may use one or more of a variety of systems and techniques including, but not limited to, stereo cameras, time-of-flight cameras, depth segmentation, color segmentation, feature tracking, face detection, template matching, adaptive template matching, and blob tracking.
  • Similar data can be gathered from a foreground/background classification image, which may be produced by vision system 214 .
  • the portion of the image that is classified as foreground is a rough approximation of the number of people viewed by the camera. If the width and height of the screen viewed by the camera and the approximate cross-sectional size of a typical person from the camera's point of view are known, then the approximate portion of the screen that is turned to foreground by the presence of a single person can be computed. Consequently, a conversion can be made from foreground portion to number of people. Alternatively, by doing some experiments with a person in front of the camera, the approximate portion of foreground that corresponds to a single person for a given installation can be determined.
  • This “foreground portion” data can be used to roughly estimate how popular the display is at a given time, and whether people are entering or leaving the display. Because the physical boundaries of interactive video display system 210 may only take up a portion of the camera's view, the foreground/background classification image can be segmented into different regions, such as, “on the display”, “within one foot of the display's boundary” “off the display, but within 4 feet of it” and the foreground portions for each region can be recorded separately. Small thumbnail or full-size copies of the vision foreground-background classification image can also be directly logged for later analysis.
  • Data from the person-tracking information and/or the foreground portions may be referred to as vision data and can be written (e.g., stored) on a periodic basis (e.g., once per second) to a log file.
  • the log file is stored in data storage 232 .
  • This log file can then be analyzed, either locally or centrally, at a later time by data analysis module 234 .
  • the log entries may be time-stamped and may contain information about what content is running at that time.
  • data about the specific interactions that took place on the display can be gathered.
  • interactive video display system 210 is showing a survey that asks users questions and takes their responses by having them touch virtual buttons.
  • the votes on the virtual survey could be recorded in the logs along with the vision data.
  • the scores and actions of the players could be added to the log file.
  • interactive informational content such as, a virtual shopping catalog
  • each instance of a product or item being viewed could be recorded in the log file.
  • any information about an instance of human interaction with a virtual object on the screen can be logged for later analysis. This can be used as a valuable feedback tool for advertisers, game designers, and content creators.
  • the display or screen of interactive video display system 210 requires maintenance and cleaning. In public installations, this maintenance and cleaning generally takes place after hours, when the display is turned off. In order to verify that maintenance and cleaning is taking place on a regular basis, the data logs can be checked for activity after hours.
  • interactive video display system 210 sequentially displays different pieces of content, which will be referred to as “spots” or “video spots”, each for a length of time.
  • the spots are stored in video spot storage 216 .
  • This series of spots can be conceptually compared to a series of television commercials. There is flexibility in the number of spots, the length of time that they play, and the order in which they play.
  • video spot scheduler 236 controls the scheduling of the spots, wherein video spot scheduler 236 may be located locally or remotely, as described above.
  • Data analysis module 234 is operable to perform data analysis on the gathered data stored in data storage 232 .
  • the popularity of each spot can be determined based on the logged data as described above. For example, a spot's popularity can be measured by taking the average of the logged values for the foreground portion or the number of people on the screen during the periods when the spot was showing.
  • the number of people on the screen when the spot begins playing is determined by the popularity of the previous spot. For example, a spot that follows an unpopular spot will tend to have lower activity levels than it otherwise would have.
  • the number of people interacting with a spot depends on the number of people near the display; if very few people are in the venue where the interactive system is installed, then relatively few people will interact with the system. Ways to handle the foregoing problems will be further described below.
  • the order in which spots are played is randomized, so that each spot follows each other spot with equal probability. There may be some deviation from true randomness to prevent the same spot from playing twice in too short a time period. Thus, any effect of the previous spot on the current spot's popularity would be averaged out across all spots, giving a somewhat better sense of the spot's true popularity.
  • the length of time that the spot runs can be increased so that the effects of the previous spot are limited.
  • each showing of the spot only the data for the last few seconds of the showing is analyzed when computing the average number of people or foreground portion. This average is referred to as “average popularity”.
  • the difference between the showing's average popularity and the average popularity during the previous spot is computed. This shows whether the current spot caused an increase in the number of people on the screen.
  • the difference between the showing's average popularity and the average popularity during the previous spot is computed. However, only the last few seconds of the showing of the current spot and the previous spot are used when computing the averages.
  • the difference between the number of people (or foreground portion) at the beginning of the showing and the number of people (or foreground portion) at the end of the showing is computed.
  • the beginning and end could either be instantaneous or refer to the average of the first few seconds and last few seconds respectively.
  • the number of people who entered the display and the number of people who left the display during the showing are counted.
  • Popular spots have more people enter and fewer people leave, in some cases, though, it would be desirable to have many people enter and leave, thus allowing the content to be seen by as many people as possible.
  • the information about the number of people entering and leaving can be derived directly from person tracking data or estimated from the foreground portion data by looking for quick rises and drops (of a particular minimum size) in the foreground portion data.
  • the average length of time that people playing with the spot have been on the display is recorded.
  • the person controlling the system may want either a long or a short length of stay.
  • the amount of movement that takes place during the spot's showings is recorded.
  • the amount of movement can be derived as the average speed of people on the display, which can be found by examining the position information in the person-tracking data.
  • An alternative measure of the amount of movement can be calculated from the foreground/background images by computing the portion of pixels that switched from foreground to background or vice versa between two such images a very short time apart. In order to compute the average amount of movement, this image difference would ideally be made several times during each showing of the spot. This allows the person controlling the system to distinguish between spots that promote lively behavior and spots that create a more sedate atmosphere but are nonetheless popular.
  • the number of showings for which no one was interacting with the display the beginning (or no one interacted with the previous spot) but at least one person was interacting at the end is determined. This measures the spot's “first user attraction level,” e.g., how good it is attracting a person to interact with the display when there currently is no one interacting with the display.
  • a spot's “group appeal” can be characterized by the number of times that one person was playing with the spot at the beginning of the showing and multiple people were playing with the spot at the end of the showing.
  • Embodiments of the present invention provide a way to account for the number of people in the venue where interactive video display system 210 is installed.
  • One way to do this would be to simply obtain attendance data from the venue; many venues have such data by day and even by hour.
  • the attendance data can be obtained by performing surveys or spot checks on the number of people in attendance, or by use of a wide-angle camera and analysis of the camera image to determine the number of people in attendance. Then, the popularity of each spot relative to the overall number of people who saw the interactive display system can be determined. Then, a given spot's popularity could then be compared fairly across venues with very different levels of attendance.
  • all the spots could be run at the same general time of day for the same days and in the same venues so that any differences in overall traffic level affect all spots equally.
  • the popularity of a given spot may vary greatly depending on a variety of other conditions or factors.
  • These external factors 240 include, but are not limited to, time of day, day of the week, season, weather, physical location of installation (geography), type of interactive installation (wall projection, floor projection etc.), gender, age, income demographic of people visiting the venue of the installation, and how frequently the spot is shown, etc.
  • Spots that are popular under one set of conditions may be less popular under another set of conditions.
  • data analysis module 234 is operable to receive external data 240 in its analysis of the data. Since this data is either recorded in the spot logs or can be matched (based on time and location) to the spot logs, statistics on the popularity of a spot can be determined given some or all of these conditions.
  • a goal is to schedule a set of spots for a given interactive video display that optimizes the overall popularity of the display, then past popularity data from one or more interactive video displays can be analyzed to determine what spots should be chosen.
  • the people responsible for determining the schedule of spots can make use of this database by querying for the popularity data for these spots from the database. They have the option of limiting this data to similar external factors (e.g., looking up the popularity of spots running on weekdays from 10:00 PM to 12:00 AM at mall installations in New England) so as to allow the most accurate judgments to be made. The database could then produce a list of the most popular spots given those conditions. Based on what the scheduler wants, different methods of computing popularity, such as the ones described earlier, may be employed.
  • the spot popularity data can also be used to allow for automatic scheduling at video spot scheduler 236 , both at a micro and at a macro level.
  • an interactive video display system could run spots that are found through the log processing to have high “first user attraction level” (as defined earlier) when there is no one at the display and run spots with high “group appeal” (as defined earlier) when there is currently one person at the display.
  • the system could look at its own spot popularity data over the last few minutes or hours, and change the schedule to show popular spots more often or stop showing unpopular spots.
  • the system could even directly solicit feedback from users. For example, the system could display an interactive button that asks users to touch the button if they like the spot and want to see more like it.
  • machine learning processes can be employed, including but not limited to, neural networks, hidden Markov models, a mixture of Gaussian models, and principal component analysis, to build a model of the relationships between the popularity of each showing of each spot and the set of conditions under which that showing occurred. These machine learning processes could then automatically predict what set of spots would perform best at any given time and place, and automatically reschedule them to optimize their popularity.
  • process 300 for managing an interactive video display system, are described herein.
  • process 300 is carried out by processors and electrical components (e.g., an interactive video display system) under the control of computer readable and computer executable instructions, such as interactive video display system 210 of FIG. 2 .
  • processors and electrical components e.g., an interactive video display system
  • computer readable and computer executable instructions such as interactive video display system 210 of FIG. 2 .
  • a plurality of video spots are displayed on the interactive video display system.
  • the plurality of video spots are displayed in a pseudo random order.
  • the length of time that a particular video spot is displayed is adjusted.
  • step 320 data based on interaction with the interactive video display system corresponding to video spots of the plurality of video spots is gathered.
  • the interaction is determined according to person tracking.
  • the interaction is determined according to a foreground/background classification image.
  • the data is stored, wherein the data is for use in managing presentation of the video spots.
  • the data is stored at a local memory of the interactive video display system.
  • the data is transmitted to an external computer system and is stored in a memory of the external computer system.
  • the data is analyzed for use in managing presentation of the plurality of video spots.
  • analyzing the data includes determining popularity for at least one video spot of the plurality of video spots based on the data.
  • analyzing the data includes determining a first user attraction level for at least one video spot of the plurality of video spots based on the data.
  • analyzing the data includes determining a group appeal for at least one video spot of the plurality of video spots based on the data.
  • external data is gathered for use in analyzing the data.
  • the display schedule of the plurality of video spots is adjusted based on analyzing data.
  • the display schedule is automatically adjusted based on the analysis.
  • the display schedule is manually adjusted based on the analysis.
  • the display schedule is fed into step 310 of process 300 for displaying the video spots.
  • the present invention is implemented using software in the form of control logic, in either an integrated or a modular manner.
  • software or a combination of software and hardware can also be used to implement the present invention.

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US12/417,588 US8487866B2 (en) 2003-10-24 2009-04-02 Method and system for managing an interactive video display system

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WO2005041578A2 (fr) 2005-05-06
KR101094119B1 (ko) 2011-12-15
US8487866B2 (en) 2013-07-16
US20090235295A1 (en) 2009-09-17
JP4794453B2 (ja) 2011-10-19
CN1902930B (zh) 2010-12-15
JP2007512729A (ja) 2007-05-17
KR20070006671A (ko) 2007-01-11
EP1676442A2 (fr) 2006-07-05
WO2005041578A3 (fr) 2006-02-02
CN1902930A (zh) 2007-01-24

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