TY - GEN
T1 - Shot boundary detection algorithm based on color texture moments
AU - Shekar, B. H.
AU - Sharmila Kumari, M.
AU - Holla, Raghuram
PY - 2011/3/29
Y1 - 2011/3/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79953011820&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-19542-6_116
DO - 10.1007/978-3-642-19542-6_116
M3 - Conference contribution
AN - SCOPUS:79953011820
SN - 9783642195419
T3 - Communications in Computer and Information Science
SP - 591
EP - 594
BT - Computer Networks and Information Technologies - Second International Conference on Advances in Communication, Network, and Computing, CNC 2011, Proceedings
T2 - 2nd International Conference on Advances in Communication, Network, and Computing, CNC 2011
Y2 - 10 March 2011 through 11 March 2011
ER -