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Identifying Multimedia Asset Similarity Using Blended Semantic and Latent Feature Analysis
Identifying Multimedia Asset Similarity Using Blended Semantic and Latent Feature Analysis
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机译:使用混合语义和潜在特征分析识别多媒体资产相似性
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摘要
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.
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