Abstract

Shot change detection is a main technique for automatic temporal segmentation of video, which requires adaptive adjustment of thresholds and real-time operation in actual applications. To date, few researches have been conducted on real-time shot change detection to be applied to hardware terminals with low performance such as PMPs (portable media player) and cellular phones. In this paper, we propose an adaptive real-time shot change detection algorithm and implement it on an actual PMP. The proposed algorithm consists of the following elements: sub-sampling, weighting variance, and adaptive thresholds. Our experiments obtained the detection rate of about 94.4% in overall accuracy, demonstrating a higher detection rate and a computational amount 1/256 less than the conventional algorithms which have optimal fixed thresholds adjusted by humans for each video. We verified the real-time operation of shot change detection by implementing our algorithm on the PMP of Homecast, a PMP company. The proposed algorithm will be helpful in searching video data on portable media players such as PMPs and cellular phones.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.