Abstract
In this paper, an efficient and robust scene change detection algorithm is proposed by using low-level audiovisual features and several classification methods. The proposed algorithm consists of three stages. The first stage is shot boundary detection by using Support Vector Machine (SVM) and the second stage is the scene boundary detection using shot clustering based on visual information. In the last stage, the scene boundary correction with audio information is described.
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 callDisclaimer: 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.
