Abstract
TV commercials recognition is a need for advertisers in order to check the fulfillment of their contracts with TV stations. In this paper we present an approach to this problem based on compacting a representative frame of each shot by a PCA of its color histogram. We also present a new algorithm for scene break detection based on the analysis of local color variations in consecutive frames of some specific regions of the image.
Cite
CITATION STYLE
Sánchez, J. M., Binefa, X., Vitrià, J., & Radeva, P. (1999). Local color analysis for scene break detection applied to TV commercials recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1614, pp. 237–244). Springer Verlag. https://doi.org/10.1007/3-540-48762-x_30
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
