Deep Video Indexing
Uniquely, Autonomy Virage delves deep within the video file itself rather than relying on human-defined metatags which are subjective and limited in scope. It then provides a highly detailed, time-encoded, comprehensive range of data which users, or IDOL itself, can search through to find relevant content with pinpoint accuracy. The full range of IDOL’s functions can be performed on video content and video can be automatically cross-referenced with any other form of information. Deep Video Indexing (DVI) uniquely tackles the challenge of asset identification and management through its use of a cascade application method that layers technology analytics to create a unique fingerprint for all video assets. This fingerprint is a flexible representation of the asset whose characteristics can be extracted or used to determine similarities between assets. Due to this unique, flexible mode of asset representation within the IDOL conceptual index, many of the challenges that traditionally plague the video medium are overcome. Issues such as spherical distortion, artifacts from low resolution transcoding, screen inclusion (i.e. assets within assets), audio distortions and audio mismatching (e.g. translations, misalignment) do not affect the integrity of the representation. Openly configurable, the DVI functionality uses numerous proprietary approaches in a configurable lattice which can be weighted within the DVI fingerprint as separate entities or as a whole unit. These technological approaches include:
- Texture trajectory analysis
- Advanced Optical Character Recognition (OCR)
- Spectrum trajectory analysis
- Advanced scene analysis
Autonomy Virage can extract a comprehensive range of data from multimedia resources, including full transcripts of audio streams, on-screen character recognition, keyframes, facial recognition and speaker information, all of which is linked to the original video file, allowing users to locate content with pinpoint accuracy. Utilizing the power of IDOL, Autonomy Virage provides users with an unrivalled range of video analysis tools such as scene detection, ‘find similar’ functions and conceptual analysis such as automatic hyperlinking of related content, categorization and clustering. In addition, video content can be automatically cross-referenced with any other form of information such as PowerPoint presentations, Word documents or web pages. In this way, Autonomy Virage ensures that rich media is immediately fully searchable and accessible by any user.
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Autonomy Group Customers
