Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
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.
How to cite this article:
Chitra A. Dhawale and Sanjeev Jain . A Novel Approach Towards Keyframe Selection for Video Summarization.
DOI: https://doi.org/10.36478/ajit.2008.133.137
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2008.133.137