This article presents an overview of the video copy detection benchmark which was run over
a period of 4 years (2008--2011) as part of the TREC Video Retrieval (TRECVID) workshop …

Automatic image captioning has been studied extensively over the last few years, driven by
breakthroughs in deep learning-based image-to-text translation models. However, most of …

This work presents a novel shot boundary detection (SBD) method based on the Place-
centric deep network (PlaceNet), with the aim of using video shots and image queries for …

We propose a video copy detection scheme that employs a transform domain global video
fingerprinting method. Video fingerprinting has been performed by the subspace learning …

How to precisely and efficiently detect near-duplicate copies with complicated audiovisual
transformations from a large-scale video database is a challenging task. To cope with this …

This paper introduces a global descriptor from the compressed video domain (H. 264) for
near duplicate video copy detection tasks. The proposed descriptor uses a spatial-temporal …

The role of partitioned colour-based global descriptors is well known in video similarity
detection tasks for their inexpensive yet effective performance compared to local descriptors …

This fifth volume, edited and authored by world leading experts, gives a review of the
principles, methods and techniques of important and emerging research topics and …

Intra-prediction modes (IPMs) of H. 264/AVC, as visual feature components, are easily
extracted from the compressed domain. However, in spite of their efficiency and …

In this paper, we present the latest improvements on spectrogram-matrix based
fingerprinting system for detecting transformed audio copies. In particular, we experiment …