TY  - JOUR
T1  - A Novel Approach Towards Keyframe Selection for Video Summarization
AU - , Chitra A. Dhawale AU - , Sanjeev Jain 
JO  - Asian Journal of Information Technology
VL  - 7
IS  - 4
SP  - 133
EP  - 137
PY  - 2008
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2008.133.137
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2008.133.137
KW  - Video summary
KW  -video shot detection
KW  -key-frame features
KW  -key-frame extraction
AB  - For the short summary of large video,  first step is to split the longer video into shots, then the representative frames (key-frames) for each shot are selected. These representative frames together form the video summary. In this study we have considered the video key-frame selection. As a part of research work and the minor research project, we have studied and implemented various methods for shot detection and key-frame selection using Matlab and C++. In this study the improved algorithm for histogram based approach is proposed for multiple visual descriptor features of video key-frames selection for compact video representation.
ER  -