Latent topics-based relevance feedback for video retrieval

Pattern Recognition

Volumn 51, Issue , 2016, Pages 72-84

  Fernandez Beltran, Ruben ^a   Pla, Filiberto ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

Content Based Video Retrieval; Information retrieval; Latent topics; Probabilistic Latent Semantic Analysis (pLSA); Relevance feedback

Indexed keywords

COMPETITION; CONTENT BASED RETRIEVAL; DATA MINING; IMAGE RETRIEVAL; INFORMATION RETRIEVAL; QUERY LANGUAGES; SEMANTICS;

COMPETITIVE ADVANTAGE; CONTENT-BASED VIDEO RETRIEVAL; LATENT TOPICS; LOW-LEVEL FEATURES; PROBABILISTIC LATENT SEMANTIC ANALYSIS; PROBABILISTIC RANKING; RANKING FUNCTIONS; RELEVANCE FEEDBACK;

FEEDBACK;

EID: 84955629583     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2015.09.007     Document Type: Article

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