Video retrieval based on patterns of oriented edge magnitude

K. Raghurama Holla, B. H. Shekar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, a video retrieval system is proposed based on POEM (Patterns of Oriented Edge Magnitudes) descriptor. In the first stage, the input video is partitioned into shots based on Gabor moments and keyframes are selected from each shot based on Temporally Maximum Occurrence Frame (TMOF). In the next stage, the POEM descriptor is computed from each keyframe for robust image/frame representation. Given a query frame, the descriptor is obtained from it in a similar manner, and this descriptor is compared with the descriptors of the video keyframes using nearest neighbour matching technique to find the matching keyframe. We have conducted experiments on the TRECVID video segments to exhibit the superiority of the proposed approach for video retrieval applications.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on Computer Vision and the Internet, VisionNet 2016
PublisherAssociation for Computing Machinery (ACM)
Pages115-120
Number of pages6
ISBN (Electronic)9781450343015
DOIs
Publication statusPublished - 21-09-2016
Event3rd International Symposium on Computer Vision and the Internet, VisionNet 2016 - Jaipur, India
Duration: 21-09-201624-09-2016

Publication series

NameACM International Conference Proceeding Series
Volume21-24-September-2016

Conference

Conference3rd International Symposium on Computer Vision and the Internet, VisionNet 2016
CountryIndia
CityJaipur
Period21-09-1624-09-16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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