UQLIPS: A Real-time Near-duplicate Video Clip Detection System

Near-duplicate video clip (NDVC) detection is an important problem with a wide range of applications such as TV broadcast monitoring, video copyright enforcement, content-based video clustering and annotation, etc. For a large database with tens of thousands of video clips, each with thousands of frames, can NDVC search be performed in real-time? In addition to considering inter-frame similarity (i.e., spatial information), what is the impact of frame sequence similarity (i.e., temporal information) on search speed and accuracy? UQLIPS is a prototype system for online NDVC detection. The core of UQLIPS comprises two novel complementary schemes for detecting NDVCs. Bounded Coordinate System (BCS), a compact representation model ignoring temporal information, globally summarizes each video to a single vector which captures the dominating content and content changing trends of each clip. The other proposal, named FRAme Symbolization (FRAS), maps each clip to a sequence of symbols, and ta...

• Type: Conference
• Year: 2007
• Where: VLDB
• Authors: Heng Tao Shen, Xiaofang Zhou, Zi Huang, Jie Shao, Xiangmin Zhou
• Keywords: Database, NDVC Detection, Temporal Information, Video Clips, VLDB 2007