WO2024009288A2 - Intégration et traitement sans coupure de données d'objet d'action - Google Patents

Intégration et traitement sans coupure de données d'objet d'action Download PDF

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Publication number
WO2024009288A2
WO2024009288A2 PCT/IB2023/059140 IB2023059140W WO2024009288A2 WO 2024009288 A2 WO2024009288 A2 WO 2024009288A2 IB 2023059140 W IB2023059140 W IB 2023059140W WO 2024009288 A2 WO2024009288 A2 WO 2024009288A2
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WO
WIPO (PCT)
Prior art keywords
data
action object
computer
visualization
implemented method
Prior art date
Application number
PCT/IB2023/059140
Other languages
German (de)
English (en)
Other versions
WO2024009288A3 (fr
Inventor
Peter EFFENBERG
Mark GÜLBAHAR
Claudia Wolf
Original Assignee
Transfermedia Production Services Gmbh
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Transfermedia Production Services Gmbh filed Critical Transfermedia Production Services Gmbh
Priority to PCT/IB2023/059140 priority Critical patent/WO2024009288A2/fr
Publication of WO2024009288A2 publication Critical patent/WO2024009288A2/fr
Publication of WO2024009288A3 publication Critical patent/WO2024009288A3/fr

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Classifications

    • 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
    • H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
    • H04N21/4316—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations for displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window
    • 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
    • H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
    • 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
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508—Management of client data or end-user data
    • H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, 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
    • H04N21/47—End-user applications
    • H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
    • H04N21/47815—Electronic shopping
    • 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
    • H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/84—Generation or processing of descriptive data, e.g. content descriptors
    • 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
    • H04N21/85—Assembly of content; Generation of multimedia applications
    • H04N21/854—Content authoring
    • H04N21/8547—Content authoring involving timestamps for synchronizing content
    • 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
    • H04N21/85—Assembly of content; Generation of multimedia applications
    • H04N21/858—Linking data to content, e.g. by linking an URL to a video object, by creating a hotspot

Definitions

  • the present invention relates to a computer-implemented method, computer program, system and device for processing action object data in an audio and/or visual media content.
  • audio and/or visual product advertising in the form of commercial breaks or pre-roll advertising for a predefined product is produced and provided separately as audio and/or visual data .
  • the audio and/or visual data of the product advertising are then read out and displayed separately at a certain point in time, with the audio and/or visual data of a media content being stopped and hidden at the same time, thus stopping and hiding the media content and starting and Displaying the audio and/or visual data of the product advertising takes place. Consequently, the displayed audio and/or visual data of the product advertising for a predefined product always remains visible to the viewer, so that the viewer cannot withdraw from the product advertising offer.
  • product advertising is displayed as a hyperlink to a specific predefined product within the displayed audio and/or visual data of the media content with an accompanying photo superimposed on the media content. Subsequent access to the hyperlink leads to leaving the media content and displaying additional information about the product in an additional web browser window. The viewer can then be guided to an eCommerce provider to purchase the corresponding product on the eCommerce platform. Here too, the eCommerce platform always remains visible to the user.
  • a hyperlink is displayed in the image via a QR code within the media content, which the user can read with a second device.
  • This process takes the user to an eCommerce provider on the second device.
  • the viewer purchases the corresponding product on the eCommerce platform completely separately from the media content on a second device, whereby the display of the QR code within the media content always remains visible to the user and the connection to the media content is removed.
  • the invention is based on the object of proposing an improved generation and provision of video data for product advertising.
  • a computer-implemented method for processing correlated action object data from video data is proposed, wherein the correlated action object data parametrically specifies the action objects occurring in the video data.
  • the computer-implemented process includes the following steps:
  • the correlated action object data is specification data of action objects that are in the video data be represented visually.
  • Each correlated or external action object is specified by action object data, where the action object data for a particular action object has a certain number of parameters that depend on the type and nature of the action object.
  • the correlated or external object of action can be, for example, a person, an object from the household, such as a table, an armchair, a drink bottle, a hanging lamp, a book, a shelf, a cupboard, a piece of clothing or, in general, an object that is figurative can be made visible.
  • the correlated action object data is data about the action objects presented in the video content.
  • the parameters for the correlated or external action objects specify the action objects and can be used as parameters: designation, type, name, color, size, number, manufacturer information, material, purchase address, time information, ingredient, design name, reason for use, identification number, price, action description, location information, Specify duration of visibility, statistical information, time of appearance, time of exit, time of hiding, duration of appearance, number of appearances, size of appearance and/or user information.
  • the external action object data comes from an external source and specifies further action objects, where the external action object data can replace the correlated action object data.
  • the correlated action object data or the external action object data preferably consist of data about at least one action object, the data for each action object having at least one parameter.
  • the at least one parameter specifies the action object and/or establishes a reference to the action object and/or at least establishes a reference between at least two action objects.
  • the correlated or external action object data preferably consists of data about a plurality of action objects, each action object having a plurality of parameters for specifying the action object and/or for establishing a relationship with the action object and/or for establishing at least one relationship between at least two action objects .
  • the external action object data preferably has at least one additional availability parameter, which provides information about the availability of at least one external action object.
  • the action object selection is calculated according to the method from the correlated action object data and external action object data by the algorithm and compiles a new composition of action object data when updated.
  • the action object selection preferably consists of data about at least one action object from the correlated action object data or the external action object data, the data for each action object having at least one parameter.
  • the at least one parameter specifies the action object and/or establishes a reference to the action object and/or at least establishes a reference between at least two action objects.
  • the calculation of the action object selection by the algorithm is carried out depending on a prioritization of at least one action object, of at least one parameter of at least one action object, of a similarity factor between two action objects based on the associated action object data, of the time of the update, of a statistical quantity the action objects or from a user interaction.
  • the algorithm according to the invention is preferably set up in such a way that it forms at least one similarity factor depending on at least one parameter of at least two action objects and calculates a prioritized action object based on the similarity factor formed and incorporates the prioritized action object with the associated action object data in the action object selection.
  • the algorithm is preferably alternatively or additionally set up in such a way that it includes the parameters of at least two action objects for calculation depending on at least one type of parameter.
  • the algorithm is further preferably alternatively or additionally set up in such a way that it carries out the calculation of the similarity factor depending on a color scale, a numerical comparison, a time indication, a semantic comparison, an indication of origin and/or a parameter type value that is characteristic of the action object.
  • the user interaction is a signal that is recorded after a user interaction using a user interface and is available as a machine-readable signal.
  • the user interaction is in particular a click, a touch command, a signal transmitted via a remote control device or a voice and/or gesture signal.
  • the algorithm according to the invention is preferably set up in such a way that it recalculates the action object selection depending on the signal that is based on the user interaction.
  • the description data is data that describes or illustrates the correlated or external action objects, in particular photos or videos or clips about the action objects.
  • the time information is a point in time and/or a period of time about the temporal fading in and/or fading out of a correlated action object in the video data.
  • the time information is in particular a component of correlated action object data or external action object data.
  • the algorithm assigns and saves a fade-in time and a fade-in period, so that the fade-in time and/or the fade-in period for an action object is adopted or recalculated in the calculated action object selection becomes.
  • the update parameter determines the recalculation of the action object selection, so that depending on the size of the update parameter, the number and/or repetition rate of an update in time is defined.
  • the computer-implemented method comprises the following steps
  • the visualization data is set up in such a way that it can be displayed visually by a playback application.
  • the visualization parameters determine the visual appearance of visualization data through the playback application.
  • the visualization parameters define the layout, size, orientation, arrangement, placement, display position, and/or color composition when displaying action objects in the visualization data.
  • the computer-implemented method further comprises the step of preparing the visualization data of the action object selection by means of the processing unit in such a way that the visualization data together with the video data by means of the playback application in a playback application window depending on a first user interaction with the playback application are displayed, the visualization data being prepared by the processing unit in such a way that the visualization data is displayed in a first sub-area and the video data in a second sub-area of the playback application window.
  • the visualization data together with the video data are displayed in two different sub-areas within the playback application window after the first user interaction, in particular the first sub-area at least partially fades over the second sub-area.
  • the playback application is preferably set up in such a way that it selects at least one action object from the action object selection depending on the current playback position of the video data, reads at least one further parameter from the action object data of the selected action object and calculates the visualization data and prepares it for display in the application window and saves.
  • the playback application is further preferably set up in such a way that, depending on a probable or actual user interaction with the video data, it carries out a selection update of action objects with the associated parameters for calculating new visualization data and prepares and saves the new visualization data for display in the application window.
  • the playback application is preferably set up in such a way that, depending on a prioritization value, it modifies the representation of the visualization data and/or the number of action object data to be displayed and/or the size of the action object data to be displayed in the application window and displays the action objects in the application window.
  • the prioritization value is a hardware type, a screen size of the application window or an orientation information of the application window.
  • the computer-implemented method comprises the following steps:
  • the additive visualization data is generated and displayed depending on the second user interaction.
  • the second interaction is in particular an interaction with the displayed visualization data for the action objects in the first portion of the application window.
  • the representation of the first sub-area, the second sub-area and the third sub-area is at least partially superimposed.
  • the computer-implemented method comprises the step of receiving video production data using a production interface and converting the video production data into correlated action object data using the processing unit.
  • the video production data is read in and processed via the production interface so that the correlated action object data is created based on a predefined algorithm.
  • the predefined algorithm processes the relevant data on the correlated action objects from the various production steps and places the correlated action objects in a temporal relationship to the associated video data.
  • the predefined algorithm is set up in such a way that the temporal occurrence of the correlated action objects and specification parameters of the respective correlated action objects are calculated as correlated action object data.
  • the computer-implemented method comprises the step of receiving a user's interaction data with the displayed visualization data using the receiving interface and storing them in the storage unit, and recalculating the visualization data and/or the action object selection depending on the received interaction data.
  • the user's interaction data with the visualization data that is displayed in the application window is recorded and examined for data patterns by a subsequent mathematical analysis, in particular a statistical analysis.
  • the mathematical analysis of the interaction data is preferably set up in such a way that the visualization data and/or the Recalculate action object selection.
  • the computer-implemented method comprises the step of storing the user's interaction data, which relate to a selection of action objects occurring in the visualization data, in the storage unit and sending it to a merchant platform using the sending interface, and depending on data received from of the dealer platform to recalculate the action object selection and/or the visualization data using the processing unit.
  • the computer-implemented method comprises the step of generating a settlement data record by means of the processing unit depending on the data received from the merchant platform and of sending the settlement data record to a processing platform by means of the sending interface and of sending data from the processing platform by means of the receiving interface receive and, depending on received data from the processing platform, recalculate the action object selection and / or the visualization data using the processing unit.
  • the processing data set includes data about action objects selected by the user from the visualized action object data within the application window.
  • the settlement data record is sent to the trader platform, the trader platform being set up to generate a feedback signal which is adapted thereto predefined algorithm to be processed in order to recalculate the action object selection or the visualization data depending on the feedback signal.
  • the computer-implemented method comprises the step of receiving user identification data via the playback application using the receiving interface and assigning the interaction data to the user identification data.
  • the playback application provides a mask for collecting user identification data.
  • the recorded user identification data is at least partially anonymized and/or pseudonymized and/or encrypted and sent to the merchant platform and/or processing platform and/or to the receiving interface.
  • the partially anonymized and/or pseudonymized user identification data of at least one user is assigned to the action object data of at least one action object and assignment data is created, wherein the assignment data is, in particular, set up in such a way that it can be processed by the predefined algorithm. Further preferably, the action object selection and/or the visualization data is recalculated depending on the assignment data.
  • the computer-implemented method comprises the step of receiving update data from the dealer platform using the receiving interface and using this data using the processing unit to recalculate the action object selection and/or the visualization data.
  • the computer-implemented method comprises the step of receiving user behavior data using the receiving interface and recalculating the action object selection and/or the visualization data depending on the user behavior data.
  • the update parameter is a time duration, a user interaction, a video data type, a video navigation signal, or a merchant platform signal.
  • the computer-implemented method comprises the step of providing the action object selection with a command set, the command set being set up to determine the readout time of the action object selection by the playback application.
  • the command set is adapted in such a way that it can be read by the playback application and interpreted and executed as a command.
  • the predefined algorithm is further preferred adapted to incorporate a command set into the action object selection, the generation of the command set by the algorithm depending on at least part of the correlated and / or external action object data.
  • the playback application is adapted in such a way that it can detect, read out and execute a command set from the action object selection.
  • a system which consists of a processor, a memory unit with executable instructions which, as a result of execution by means of the processing unit, causes the system to execute a computer-implemented method according to one of the preceding methods.
  • a non-transitory computer-readable storage medium is provided on which executable instructions are stored which, as a result of execution by a processor of a computer system, cause the computer system to execute at least one of the computer-implemented methods listed herein.
  • FIG. 1 shows a schematic representation of the processing steps according to the present invention.
  • Figure 2 shows a schematic representation for creating visualization data according to the present invention.
  • Figure 3 shows a schematic representation for displaying visualization data according to the present invention.
  • Figure 4 shows a schematic representation for displaying additive visualization data after a further user interaction according to the present invention.
  • Figure 1 shows correlated action object data 1 and external action object data 2, which are received via a reception interface and carry out the calculation of an action object selection 3 by means of a processing unit using a predefined algorithm.
  • the correlated action object data 1 and the external action object data 2 are offset against each other by means of the processing unit depending on the predefined algorithm, so that the predefined algorithm is based on the specific parameters of the individual action objects that occur for each action object in the correlated action object data 1 and the external action object data 2, the action object selection 3 is calculated and put together.
  • the calculated action object selection 3 is available in stored form and is prepared for reading out. Block 3 thus symbolizes the receiving interface Processing unit, the algorithm and the existence of the calculated
  • Figure 2 shows a subsequent processing step for creating visualization data 4 after the steps taken according to Figure 1.
  • the action object selection 3 is available in stored form.
  • the action object selection 3 is converted into visualization data 4 and stored by the processing unit depending on at least one visualization parameter 5.
  • the block 4 symbolizes reading and receiving the action object selection 3, a reading unit, the creation of the visualization data 4 depending on at least one visualization parameter 5 - which is symbolized by block 5 -, storing the visualization data 4 and the presence of the visualization data 4 in stored form a storage unit and prepared for reading or sending.
  • Figure 3 shows a subsequent processing step for displaying visualization data 4 in an application window after the steps taken according to Figure 1 and Figure 2.
  • Figure 3 shows the stations 1, 2, 3, 5 and the stored visualization data 4, which are sent and from a playback interface Playback application can be received.
  • the playback application provides a playback application window 7 for a visualized representation.
  • the playback application is set up to receive video data that is related to the content of the correlated action object data 1.
  • the playback application processes the visualization data 4 and is prepared to simultaneously display the visualization data 4 and the video data 6 on the playback application window 7 depending on a user interaction 8, which is received and processed by the playback application in the form of a signal.
  • the visualization data 4 is displayed in a first sub-area and the video data 6 in a second sub-area of the playback application window 7.
  • Figure 4 represents a further step for displaying visualization data 4 after a second user interaction 10 following the first user interaction according to Figure 3.
  • Figure 4 shows the creation of additive visualization data 9 after the second user interaction 10 and depending on the second user interaction 10
  • the playback application is set up to display the visualization data 4 in a first sub-area, the video data 6 in a second sub-area and the additive visualization data 9 in a third sub-area of the application window 7.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Computer Security & Cryptography (AREA)
  • Digital Computer Display Output (AREA)

Abstract

La présente invention concerne un procédé mis en oeuvre par ordinateur, un programme informatique, un système et un dispositif pour traiter des données d'objet d'action corrélées et externes de contenu multimédia audio et/ou visuel et pour traiter et afficher de manière modulaire des données d'objet d'action et des visualisations associées. La présente invention concerne en particulier le traitement de données d'objet d'action et le calcul d'une sélection d'objet d'action associée ainsi que le calcul de données de visualisation selon la sélection d'objet d'action, et la mise à jour des données de sélection et de visualisation d'objet d'action.
PCT/IB2023/059140 2023-09-14 2023-09-14 Intégration et traitement sans coupure de données d'objet d'action WO2024009288A2 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/IB2023/059140 WO2024009288A2 (fr) 2023-09-14 2023-09-14 Intégration et traitement sans coupure de données d'objet d'action

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IB2023/059140 WO2024009288A2 (fr) 2023-09-14 2023-09-14 Intégration et traitement sans coupure de données d'objet d'action

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WO2024009288A2 true WO2024009288A2 (fr) 2024-01-11
WO2024009288A3 WO2024009288A3 (fr) 2024-02-29

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8793256B2 (en) * 2008-03-26 2014-07-29 Tout Industries, Inc. Method and apparatus for selecting related content for display in conjunction with a media
WO2013020102A1 (fr) * 2011-08-04 2013-02-07 Dane Glasgow Systèmes et procédés pour les commentaires des utilisateurs
US9727566B2 (en) * 2014-08-26 2017-08-08 Nbcuniversal Media, Llc Selecting adaptive secondary content based on a profile of primary content
US11943511B2 (en) * 2021-08-24 2024-03-26 Rovi Guides, Inc. Systems and methods for selectively providing supplemental content during presentation of media asset

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