Euclid Discoveries, LLC

Richard Wingard

Charles Paul Pace

Nigel Lee

Darin DeForest

Renato Pizzorni

Kenneth Goeller

Christopher Weed

Caroline Wingard

Example embodiments of the disclosure may provide a recompressor system that configures dynamic Video Ad Serving Template (VAST) tags enabling seamless delivery of mezzanine-level quality video ads of the highest resolution compatible with the user's system requirements. Aspects of the disclosure relate to reprocessing of received VAST tag, parsing the tag to identify the location of the video of highest resolution, accessing the video of highest resolution and forwarding it to a compression engine (Euclid's in this case). Compression engine re-compresses video in one or more formats and sends back location(s) of the videos. Receiving back one or more video locations and an updated VAST tag and forwarding that.

Method for dynamic video compression in an ad delivery ecosystem

Systems and methods of improving video encoding/decoding efficiency may be provided. A feature-based processing stream is applied to video data having a series of video frames. Computer-vision-based feature and object detection algorithms identify regions of interest throughout the video datacube. The detected features and objects are modeled with a compact set of parameters, and similar feature/object instances are associated across frames. Associated features/objects are formed into tracks, and each track is given a representative, characteristic feature. Similar characteristic features are clustered and then stored in a model library, for reuse in the compression of other videos. A model-based compression framework makes use of the preserved model data by detecting features in a new video to be encoded, relating those features to specific blocks of data, and accessing similar model information from the model library. The formation of model libraries can be specialized to include personal, 'smart' model libraries, differential libraries, and predictive libraries. Predictive model libraries can be modified to handle a variety of demand scenarios.

Video compression repository and model reuse

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Carlisle, MA, United States of America

Richard Wingard