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: 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.