Abstract
For the convenience of content-based video retrieval in large storage device, a new efficient video similarity search approach is proposed in this paper. To solve two challenging problems: similarity measurement and search method, a novel video feature computation of image characteristic code was proposed based on spatial-temporal distribution of video frame sequences. The video similarity is measured based on the calculation of the number of similar video components. For the scalable computing requirement, a new search method according to clustering index table was presented by index clustering. The experimental results in large database query tests show this method is efficient and effective for similar video search.
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 callSimilar Papers
More From: IEEE Transactions on Consumer Electronics
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.
