GPU Based fast MPEG-CDVS encoder

Wei Sun, Xinfeng Zhang, Shiqi Wang, Jie Chen, Ling Yu Duan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PublisherIEEE Computer Society
Pages1122-1126
Number of pages5
ISBN (Electronic)9781509021758
DOIs
Publication statusPublished - 2 Jul 2017
Externally publishedYes
Event24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
Duration: 17 Sept 201720 Sept 2017

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2017-September
ISSN (Print)1522-4880

Conference

Conference24th IEEE International Conference on Image Processing, ICIP 2017
Country/TerritoryChina
CityBeijing
Period17/09/1720/09/17

Keywords

  • Feature extraction
  • GPU
  • Ling-Yu Duan is the corresponding author
  • MPEG-CDVS

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