A correlation analysis method of latent semantic for semantic-based video retrieval

作者：Chang Jun^*; Hu Ruimin; Wang Zhongyuan; Ai Haojun

来源：Geomatics and Information Science of Wuhan University, 2011, 36(10): 1256-1259.

• Core elements
• Correlation analysis
• Cross correlations
• Latent semantics
• matrix
• Self-correlation
• Semantic structures
• Video contents
• Video features
• Video retrieval
• Visual feature

A method of video features correlation analysis is proposed, by using the latent self-correlations and cross-correlation which exist in the visual features and semantics, it can retain the core element of the semantic structure in video content , and eliminate the interference induced by the redundant relationships. It is proved in practice that proposed method make better outcome of semantic-based video retrieval, and to improve the computational efficiency by reducing the size of matrix.

• 出版日期2011