Topic models for semantics-preserving video compression

MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval

Volumn , Issue , 2010, Pages 275-283

  Wanke, Jörn ^a   Ulges, Adrian ^b   Lampert, Christoph H ^c   Breuel, Thomas M ^a  

^a France   (Germany)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^c MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

Content based video retrieval; Topic models

Indexed keywords

COMPACT REPRESENTATION; COMPRESSION RATIOS; CONTENT-BASED; CONTENT-BASED VIDEO RETRIEVAL; DESCRIPTORS; DIMENSIONALITY REDUCTION TECHNIQUES; HIGH-DIMENSIONAL; IMAGE REGIONS; LOW LEVEL DESCRIPTORS; MOTION INFORMATION; MULTI-MODAL; MULTIPLE MODALITIES; PREDICTION ACCURACY; SEMANTIC INFORMATION; STATE-OF-THE-ART SYSTEM; STILL IMAGES; STORAGE REQUIREMENTS; TEMPORAL STRUCTURES; TOPIC MODEL; VIDEO COMPRESSION; VIDEO CONTENTS; VIDEO UNDERSTANDING; YOUTUBE;

GRAPHIC METHODS; IMAGE COMPRESSION; IMAGE RETRIEVAL; SEMANTICS; STATISTICAL METHODS; VISUAL COMMUNICATION;

MODELS;

EID: 77952406197     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1743384.1743433     Document Type: Conference Paper

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