A compressed sensing approach for query by example video retrieval

Recently, compressed Sensing (CS) has theoretically been proposed for more efficient signal compression and recovery. In this paper, the CS based algorithms are investigated for Query by Example Video Retrieval (QEVR) and a novel similarity measure approach is proposed. Combining CS theory with the...

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Veröffentlicht in:	Multimedia tools and applications 2014-10, Vol.72 (3), p.3031-3044
Hauptverfasser:	Hou, Sujuan, Zhou, Shangbo, Siddique, Muhammad Abubakar
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Archives & records Artificial intelligence Compressed Compressing Computer Communication Networks Computer Science Computer science control theory systems Computer systems and distributed systems. User interface Data Structures and Information Theory Detection Exact sciences and technology Image retrieval Information retrieval Information systems. Data bases Memory organisation. Data processing Multimedia Multimedia communications Multimedia Information Systems Pattern recognition. Digital image processing. Computational geometry Query processing Retrieval Shot Signal processing Similarity Similarity measures Software Special Purpose and Application-Based Systems Studies Video compression
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