Adobe, Inc.

Sven Winter

Martin Schmitz

Hartmut Warncke

Jonathan Worthen Brandt

A method for analyzing media assets such as video and audio files. The method includes providing access to all the frames of a digital media asset. The method includes, with a microprocessor, running a raw analyzer modules to analyze the asset frames to produce sets of raw analyzer result data that are stored in a data cache in a file associated with the asset. The sets of raw analyzer results are linked to the raw analyzer modules with unique identifiers. The digital media asset is played for the raw analyzer modules, which concurrently analyze the temporally-related frames. The raw analyzer results are stored as data tracks that include metadata for the asset such as immutable parameters including histograms. The method includes using a feature algorithm module to generate an analysis result, such as face identification, for the digital media asset based on the raw analyzer results accessed by the identifiers.

Framework for combining content intelligence modules

Techniques for facilitating a similarity search of digital assets (e.g., audio files, image files, video files, etc.) are described. Consistent with some embodiments, a cloud-based search service manages one or more search tree data structures for use in organizing digital assets to make the digital assets searchable. Each digital asset is associated with a feature vector based on the various attributes and/or characteristics of the digital asset. The digital assets are then assigned to leaf nodes in one or more search tree data structures based on a measure of the distance between the feature vector of the digital asset and a virtual feature vector associated with a leaf node. When a search for similar digital assets is invoked, a prioritized breadth first search of a search tree is performed to identify the digital assets having the feature vectors closest in distance to the reference digital asset.

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Hamburg, Germany

Sven Winter