@inproceedings{8defd397631b493688a3a83d0b3f0208,
title = "GPU Based fast MPEG-CDVS encoder",
abstract = "The compact descriptors for visual search (CDVS) standard from ISO/IEC Moving Picture Experts Group (MPEG) has received increasing attentions due to its effectiveness in mobile visual search related applications. To explore the efficiency of CDVS in real-time applications, we implement the first optimized CDVS encoder based on the graphics processing unit (GPU). In particular, the CDVS feature extraction is implemented in a CPU and GPU collaborative architecture, and the most of the computation-intensive operations are transferred to GPU platform, which achieves significant speedup for CDVS compared with CPU implementation. Extensive evaluations on standard datasets provide promising results of the proposed scheme for real applications scenarios.",
keywords = "Feature extraction, GPU, Ling-Yu Duan is the corresponding author, MPEG-CDVS",
author = "Wei Sun and Xinfeng Zhang and Shiqi Wang and Jie Chen and Duan, \{Ling Yu\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th IEEE International Conference on Image Processing, ICIP 2017 ; Conference date: 17-09-2017 Through 20-09-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICIP.2017.8296456",
language = "英语",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1122--1126",
booktitle = "2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings",
address = "美国",
}