Video summarization is an economical way of representing video contents and is useful for
effective and quick browsing of the relevant activity present in the video. Most current video …

The technical revolution in the field of video recording using the surveillance videos has
increased the amount of the video databases that caused the need for an efficient video …

Image queries‐based automatic recognition is a crucial element of video retrieval. Many
recognition systems were proposed with different illustrations in image‐based video retrieval …

Content-based video retrieval and video synopsis are generally considered as two different
areas. In this paper, we present an efficient approach for video retrieval based on the …

Due to technological development, the mass production of video and its storage on the
Internet has increased. This made a huge amount of videos to be available on websites from …

One of the roles of emergency first responders (eg, police and fire departments) is to prevent
and protect against events that can jeopardize the safety and well-being of a community. In …

In this paper, we propose a hierarchical Bayesian model, an improved hierarchical Dirichlet
process-hidden Markov model (iHDP-HMM), for visual document analysis. The iHDP-HMM …

Crowd video retrieval with desired motion flow segmentation is an important problem in
surveillance video management, eg, video indexing and browsing, especially in the age of …

In this paper, we present a novel approach for human action and gesture recognition using
dual-complementary tensors. In particular, the proposed method constructs a compact and …

This paper presents generalized spatiotemporal analysis and lookup tool (GESTALT), an
unsupervised framework for content-based video retrieval. GESTALT takes a query video …