Shot boundary detection algorithm based on color texture moments

B. H. Shekar, M. Sharmila Kumari, Raghuram Holla

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

6 Citations (Scopus)

Abstract

In this paper, a shot boundary detection method based on color texture moments is proposed. Here we apply the Local Feature Transform (LFT) on each frame of a video data for feature extraction purpose. Then the first and second moments are computed for each channel of the color space and the feature vector is formed. The dissimilarity measure higher than a predefined threshold indicates the presence of a shot cut. Experiments have been conducted on the standard TRECVID video database to evaluate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationComputer Networks and Information Technologies - Second International Conference on Advances in Communication, Network, and Computing, CNC 2011, Proceedings
Pages591-594
Number of pages4
DOIs
Publication statusPublished - 29-03-2011
Event2nd International Conference on Advances in Communication, Network, and Computing, CNC 2011 - Bangalore, India
Duration: 10-03-201111-03-2011

Publication series

NameCommunications in Computer and Information Science
Volume142 CCIS
ISSN (Print)1865-0929

Conference

Conference2nd International Conference on Advances in Communication, Network, and Computing, CNC 2011
CountryIndia
CityBangalore
Period10-03-1111-03-11

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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    Shekar, B. H., Sharmila Kumari, M., & Holla, R. (2011). Shot boundary detection algorithm based on color texture moments. In Computer Networks and Information Technologies - Second International Conference on Advances in Communication, Network, and Computing, CNC 2011, Proceedings (pp. 591-594). (Communications in Computer and Information Science; Vol. 142 CCIS). https://doi.org/10.1007/978-3-642-19542-6_116