Invention Grant
- Patent Title: Identifying multimedia asset similarity using blended semantic and latent feature analysis
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Application No.: US13778771Application Date: 2013-02-27
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Publication No.: US10331785B2Publication Date: 2019-06-25
- Inventor: David Arthur , Doug Mittendorf
- Applicant: TiVo Solutions Inc.
- Applicant Address: US CA San Jose
- Assignee: TiVo Solutions Inc.
- Current Assignee: TiVo Solutions Inc.
- Current Assignee Address: US CA San Jose
- Agency: Haley Guiliano LLP
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F16/43 ; G06F16/41

Abstract:
Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.
Public/Granted literature
- US20140244631A1 Identifying Multimedia Asset Similarity Using Blended Semantic and Latent Feature Analysis Public/Granted day:2014-08-28
Information query