Accelerating near-duplicate video matching by combining visual similarity and alignment distortion

• Main Authors: TAN, Hung-Khoon, WU, Xiao, NGO, Chong-wah, ZHAO, Wan-Lei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2008
• Subjects: Algorithms; Experimentation; Performance; Graphics and Human Computer Interfaces; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/6367; https://ink.library.smu.edu.sg/context/sis_research/article/7370/viewcontent/10.1.1.571.2964.pdf
• Institution: Singapore Management University

In this paper, we investigate a novel approach to accelerate the matching of two video clips by exploiting the temporal coherence property inherent in the keyframe sequence of a video. Motivated by the fact that keyframe correspondences between near-duplicate videos typically follow certain spatial...