Abstract Content-Based Video Copy Detection (CBVCD) consists of detecting whether or not
a video document is a copy of some known original and to retrieve the original video …

Large scale video copy detection tasks require a compact and computational-efficient
descriptor that is robust to various transformations that are typically applied to generate …

This paper presents a comparative study of methods for video copy detection. Different state-
of-the-art techniques, using various kinds of descriptors and voting functions, are described …

This paper presents an efficient approach for copies detection in a large videos archive
consisting of several hundred of hours. The video content indexing method consists of …

A video copy detection system is a content-based search engine [1]. It aims at deciding
whether a query video segment is a copy of a video from the indexed dataset or not. A copy …

This paper introduces a very compact yet discriminative video description, which allows
example-based search in a large number of frames corresponding to thousands of hours of …

Video copy detection techniques are essential for a number of applications including
discovering copyright infringement of multimedia content, monitoring commercial air time …

Scalability is the key issue in making content-based copy de-tection (CBCD) methods
practical for very large image and video databases. Since copies are transformed versions …

This paper introduces a video copy detection system which efficiently matches individual
frames and then verifies their spatio-temporal consistency. The approach for matching …

An effective video copy detection framework should be robust against spatial and temporal
variations, eg, changes in brightness and speed. To this end, a content-based approach for …