@article{MAKHILLAJIT2008745520,
    title = {A Novel Approach Towards Keyframe Selection for Video Summarization},
    journal = {Asian Journal of Information Technology},
    volume = {7},
    number = {4},
    pages = {133-137},
    year = {2008},
    issn = {1682-3915},
    doi = {ajit.2008.133.137},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2008.133.137},
    author = {Chitra A. Dhawale and},
    keywords = {Video summary,video shot detection,key-frame features,key-frame extraction},
    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.}
    }