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

• 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

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...