Data-Driven Lightweight Interest Point Selection for Large-Scale Visual Search

With the explosive increase of images and videos, visual analysis has become an essential technique in dealing with the big visual data, which utilizes the visual feature descriptors to search or recognize the images or frames with target objects or events. Subject to the constraints of resources (e...

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Bibliographic Details
Published in:	IEEE transactions on multimedia Vol. 20; no. 10; pp. 2774 - 2787
Main Authors:	Gao, Feng, Zhang, Xinfeng, Huang, Yicheng, Luo, Yong, Li, Xiaoming, Duan, Ling-Yu
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.10.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	classification compact descriptors Encoding Feature extraction Feature recognition feature selection interest point selection Lightweight Machine learning MPEG encoders MPEG-CDVA MPEG-CDVS Object recognition Performance enhancement Proposals Redundancy regression Searching Transform coding Video compression Visual databases Visual discrimination Visual search Visual task performance Visualization Weight reduction
ISSN:	1520-9210, 1941-0077
Online Access:	Get full text
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