Video linkage: group based copied video detection

Sites to share user-created video clips such as YouTube and Yahoo Video have become greatly popular in recent years. One of the challenges of such sites is, however, to prevent video clips that violate copyrights by illegally copying and editing scenes from other videos. Due to the sheer number of clips uploaded every day, automatic methods to detect (illegally) copied video clips in a large collection are desirable. Toward this problem, in this paper, we present a novel framework, termed as Video Linkage, that is based on the record linkage techniques. Our proposal is based on the observations that: (1) a video clip can be represented as a "group" of key frames, (2) two video clips are deemed to be similar if two groups of key frames are similar as a whole

• Type: Conference
• Year: 2008
• Where: CIVR
• Authors: Hung-sik Kim, Jeongkyu Lee, Haibin Liu, Dongwon Lee
• Keywords: CIVR 2008, Image Analysis, User-created Video Clips, Video Clips, Video Linkage