Detection of video duplicates is an active field of research, motivated by the protection of
intellectual property, the fight against piracy or the tracing of the origin of reused video …

Content based video copy detection (CBVCD) is considered as an active research field due
to the requirement of copyright protection, business intelligence, video retrieval, etc. In this …

In this paper we present and evaluate a semiautomatic labeling prototype to enable the
creation of fully labeled energy disaggregation datasets from sub-metered data. Our results …

This paper presents a new video copy detection system based on testing similarities
between textural feature vectors which are extracted from videos. Herein, the proposed …

The use of social media networks and mobile devices has experienced tremendous growth
in recent years. This has led to a surge in the number of videos recorded and uploaded to …

In Content-Based Copy detection (CBCD) literature, numerous state-of-the-art techniques
are primarily focusing on visual content of video. Exploiting audio fingerprints for CBCD …

Motion features contribute significant information about a video content. This paper
highlights a novel CBCD (Content-Based Copy Detection) approach, by incorporating …

Most studies in content-based video copy detection (CBCD) concentrate on visual
signatures, while only very few efforts are made to exploit audio features. The audio data, if …

In this paper, to efficiently detect video copies, focus of interests in videos is first localized
based on 3D spatiotemporal visual attention modeling. Salient feature points are then …

Video containment queries find the videos that have similar sequence of frames to query
video clips. Applying sequence matching to all possible subsequences for video …