Aggregating Local Image Descriptors into Compact Codes

This paper addresses the problem of large-scale image search. Three constraints have to be taken into account: search accuracy, efficiency, and memory usage. We first present and evaluate different ways of aggregating local image descriptors into a vector and show that the Fisher kernel achieves bet...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 34; H. 9; S. 1704 - 1716
Hauptverfasser:	Jegou, H., Perronnin, F., Douze, M., Sanchez, J., Perez, P., Schmid, C.
Format:	Journal Article Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Los Alamitos, CA IEEE 01.09.2012 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Accuracy Applied sciences Artificial intelligence Computer Science Computer science; control theory; systems Computer Vision and Pattern Recognition Data processing. List processing. Character string processing Exact sciences and technology Image representation image retrieval Image search Indexing Kernel Mathematical analysis Memory organisation. Data processing Microprocessors Pattern analysis Pattern recognition. Digital image processing. Computational geometry Representations Searching Software Vectors Vectors (mathematics) Visualization Image retrieval Image databank High precision Information retrieval Fisher information Kernel method Image search Dimension reduction Bag of words Image matching Efficiency Large scale Content analysis Indexing indexing image retrieval image search
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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