Abstract: This disclosure relates to the embedding of visual objects into the image content of a video by a visual embed specialist, whilst maintaining the security of the video. A low-resolution version of the video content is sent by the video owner to the specialist for analysis to identify parts of the video that are suitable for visual object insertion. A high resolution version of those identified parts of the video is then sent to the specialist for visual object insertion. The specialist may then return the modified parts of the video and the content owner create a final version of the high-resolution video by replacing the relevant parts of the high-resolution video with the modified parts.

Abstract: The present disclosure relates to a computer implemented method, computer program and apparatus for classifying object insertion opportunities in a video by identifying at least one object insertion opportunity in a scene of the video, identifying a focus of attention in the scene, determining a proximity value for each of the at least one object insertion opportunity based at least in part on the object insertion opportunity and the focus of attention, wherein the proximity value is indicative of a distance between the respective at least one object insertion opportunity and the focus of attention in the scene, and classifying each of the at least one object insertion opportunity based at least in part on the proximity value determined for each respective at least one object insertion opportunity.

Abstract: A system and method of incorporating additional video objects into source video data to produce output video data. A method includes identifying segments of the source video data, selecting identified segments for the inclusion of additional video objects, creating an intermediate working version of the source video data including video material corresponding to the selected segments, creating metadata which identifies at least one frame within the source video data which corresponds to the selected segments, transmitting the intermediate working version to a remote system for the creation of additional video data including additional video objects to be included in the output video data, receiving video file data associated with the additional video data, obtaining the additional video data based on the video file data, retrieving metadata and incorporating the additional video data with the source video data on the basis of the retrieved metadata to produce the output video data.

Abstract: This disclosure relates to the embedding of visual objects into the image content of a video by a visual embed specialist, whilst maintaining the security of the video. A low-resolution version of the video content is sent by the video owner to the specialist for analysis to identify parts of the video that are suitable for visual object insertion. A high resolution version of those identified parts of the video is then sent to the specialist for visual object insertion. The specialist may then return the modified parts of the video and the content owner create a final version of the high-resolution video by replacing the relevant parts of the high-resolution video with the modified parts.

Abstract: Aspects of the present disclosure aim to improve upon methods and systems for the incorporation of additional material into source video data. In particular, the method of the present disclosure may use a pre-existing corpus of source video data to produce, test and refine a prediction model for enabling the prediction of the characteristics of placement opportunities. The model may be created using video analysis techniques which obtain metadata regarding placement opportunities and also through the identification of categorical characteristics relating to the source video which may be provided as metadata with the source video, or obtaining through image processing techniques described below. Using the model, the method and system may then be used to create a prediction of insertion zone characteristics for projects for which source video is not yet available, but for which information corresponding to the identified categorical characteristics is known.

Abstract: A method of digital advertising, comprising: receiving a plurality of video material sources; optionally converting video material from a format of said sources into one or more placement operating formats; placing a digital advertising component into video material; and outputting the video material with the digital advertising component integrated within it for distribution. Preferred embodiments of the invention involve generating a market for placement zones suitable for receiving digital advertising components, wherein a market is generated by for example a bidding process against one or more available placement zones or offering one or more available placement zones with an indication its value/price. Also disclosed are computer apparatus and systems for performing the above-mentioned methods and related methods, and a system and method for management and manipulation of digital assets.

Abstract: A method of incorporating additional video objects into source video data to produce output video data. The method includes retrieving source video data and data defining a segment size used by a distributor, into which video data is divided when transmitted. The method includes analyzing the source video data to identify selected frames of video material which include insertion zones which correspond to regions which are suitable for receiving an additional video object. The method includes identifying a boundary point of the source video data. The method includes embedding additional video objects into the selected frames, creating output video data which has a boundary which corresponds with the identified boundary point. The method includes generating metadata including information on said boundary point of the source video data to be replaced by the created output video data; and transmitting the output video data and the metadata to the distributor.

Abstract: The method disclosure provides methods, systems and computer programs for identification of candidate video insertion object types using machine learning. Machine learning is used for at least part of the processing of the image contents of a plurality of frames of a scene of a source video. The processing includes identification of a candidate insertion zone for the insertion of an object into the image content of at least some of the plurality of frames and determination of an insertion zone descriptor for the identified candidate insertion zone, the insertion zone descriptor comprising a candidate object type indicative of a type of object that is suitable for insertion into the candidate insertion zone.

Abstract: Aspects of the present disclosure aim to improve upon methods and systems for the incorporation of additional material into source video data. In particular, the method of the present disclosure may use a pre-existing corpus of source video data to produce, test and refine a prediction model for enabling the prediction of the characteristics of placement opportunities. The model may be created using video analysis techniques which obtain metadata regarding placement opportunities and also through the identification of categorical characteristics relating to the source video which may be provided as metadata with the source video, or obtaining through image processing techniques described below. Using the model, the method and system may then be used to create a prediction of insertion zone characteristics for projects for which source video is not yet available, but for which information corresponding to the identified categorical characteristics is known.

Abstract: A method of digital advertising, comprising: receiving a plurality of video material sources; optionally converting video material from a format of said sources into one or more placement operating formats; placing a digital advertising component into video material; and outputting the video material with the digital advertising component integrated within it for distribution. Preferred embodiments of the invention involve generating a market for placement zones suitable for receiving digital advertising components, wherein a market is generated by for example a bidding process against one or more available placement zones or offering one or more available placement zones with an indication its value/price. Also disclosed are computer apparatus and systems for performing the above-mentioned methods and related methods, and a system and method for management and manipulation of digital assets.

Abstract: A system and method of incorporating additional video objects into source video data to produce output video data. A method includes identifying segments of the source video data, selecting identified segments for the inclusion of additional video objects, creating an intermediate working version of the source video data including video material corresponding to the selected segments, creating metadata which identifies at least one frame within the source video data which corresponds to the selected segments, transmitting the intermediate working version to a remote system for the creation of additional video data including additional video objects to be included in the output video data, receiving video file data associated with the additional video data, obtaining the additional video data based on the video file data, retrieving metadata and incorporating the additional video data with the source video data on the basis of the retrieved metadata to produce the output video data.