Video retrieval: An accurate approach based on Kirsch descriptor

B. H. Shekar, K. Raghurama Holla, M. Sharmila Kumari

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

Abstract

In this paper, a video retrieval model is developed based on Kirsch local descriptor. In the first stage, the input video is segmented into shots and keyframes are extracted. In the next stage, local descriptors are extracted from each keyframe and clustered into k clusters using k-means clustering procedure. Given a query frame, the local descriptors are extracted from it in a similar manner, and then compared with the descriptors of the database video using k-nearest neighbor search algorithm to find the matching keyframe. Experiments have been performed on the TRECVID video segments to demonstrate the performance of the proposed approach for video retrieval applications.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1203-1207
Number of pages5
ISBN (Electronic)9781479966295
DOIs
Publication statusPublished - 23-01-2014
Event2014 International Conference on Contemporary Computing and Informatics, IC3I 2014 - Mysuru, India
Duration: 27-11-201429-11-2014

Publication series

NameProceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014

Conference

Conference2014 International Conference on Contemporary Computing and Informatics, IC3I 2014
CountryIndia
CityMysuru
Period27-11-1429-11-14

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Information Systems

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    Shekar, B. H., Holla, K. R., & Kumari, M. S. (2014). Video retrieval: An accurate approach based on Kirsch descriptor. In Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014 (pp. 1203-1207). [7019753] (Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC3I.2014.7019753