In this paper, we describe a simple but effective and fast video activity detection algorithm to provide an efficient pre-processing tool for video camera feeds. It also presents a range of applications, including post production of TV camera video streams, analysis of surveillance videos, visual scene classification, and camera control for automated recordings etc. Given a video sequence, our ...

Repeat video clips such as program logos and commercials are widely used in video productions, and mining them is important for video content analysis and retrieval. In this chapter we present methods to identify known and unknown video repeats respectively. For known video repeat recognition, we focus on robust feature extraction and classifier learning problems. A clustering model of visual f...

This paper presents our third participation in the Video Browser Showdown. Building on the experience that we gained while participating in this event, we compete in the 2014 showdown with a more advanced browsing system based on incorporating several audiovisual retrieval techniques. This paper provides a short overview of the features and functionality of our new system.

Accurate and efficient video classification demands the fusion of multimodal information and the use of intermediate representations. Combining the two ideas into one framework, we propose a series of probabilistic models for video representation and classification using intermediate semantic representations derived from multimodal features of video. On the basis of a class of bipartite undirec...

The problem addressed here is classification of videos at the highest level into pre-defined genre. The approach adopted is based on the dynamic content of short sequences ( 30 secs). This paper presents two methods of extracting motion from a video sequence: foreground object motion and background camera motion. These dynamics are extracted, processed and applied to classify 3 broad classes: s...

Source classification has been widely studied in conventional coding of image and video signals. This paper explores the idea of exploiting so-called classification gain in Wyner-Ziv (WZ) video coding. We first provide theoretical analysis of how source classification can lead to improved Rate-Distortion tradeoff in WZ coding and quantify the classification gain by the ratio of weighted arithme...

This paper explores the current affordances and limitations of video game genre from a library and information science perspective with an emphasis on classification theory. We identify and discuss various purposes of genre relating to video games, including identity, collocation and retrieval, commercial marketing, and educational instruction. Through the use of examples, we discuss the ways i...

A nonparametric video retrieval and frame classification systm that uses affinity propagation algorithm is proposed. The main goal of the proposed system is to develop "tiny video" that achieves high video compression rates while retaining the overall visual appearance of video. The proposed video retrieval system utilizes the strengths of affinity propagation algorithm that uses exem...