Video indexing and retrieval have a wide spectrum of promising applications, motivating the
interest of researchers worldwide. This paper offers a tutorial and an overview of the …

Trajectory analysis is the basis for many applications, such as indexing of motion events in
videos, activity recognition, and surveillance. In this paper, the Dirichlet process mixture …

The need for efficiently finding the video content a user wants is increasing because of the
erupting of user-generated videos on the Web. Existing keyword-based or content-based …

In this paper, we propose a nonlinear structural hashing approach to learn compact binary
codes for scalable video search. Unlike most existing video hashing methods which …

Spectral clustering is a powerful tool for unsupervised data analysis. In this paper, we
propose a context-aware hypergraph similarity measure (CAHSM), which leads to robust …

This paper aims at dynamically understanding the properties of a scene from the analysis of
moving object trajectories. Two different applications are proposed: the former is devoted to …

there is a wide range of applications in video retrieval and indexing grabbing researcher's
attention. The following paper includes tutorial as well as a description of the background to …

In this paper, we propose a Structure-adaptive Neighborhood Preserving Hashing (SNPH)
method for unsupervised scalable video search. Unlike most existing hashing methods …

The prevalence of video recording capability, either on surveillance systems or mobile
devices, has contributed to the popularity of video data. As a result, video management has …

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 …