With the rise of crimes all over the world, video surveillance is gaining more significance day
by day. Presently, monitoring videos is done manually. If a crime occurs in a city, to find the …

Efficient access to large scale video assets, may it be our life memories in our hard drive or a
broadcaster archive which the company is eager to sell, requires content to be conveniently …

Similarity measures are very crucial especially in the field of information retrieval. Thus,
various distance/similarity measures were proposed throughout the literature. In the video …

Digital videota** of operations at construction sites has proven to be a useful resource in
the industry. These valuable visual resources, however, are not used to their full potential …

This article presents a framework for speedy video matching and retrieval through detection
and measurement of visual similarity. The framework's efficiency stems from its power to …

Video scene retrieval and anomaly detection are important problems in the area of computer
vision that share a common concept, of vectorization of the input image frames. We propose …

Due to the popularity of online video sharing Web sites such as YouTube, millions of users
have treated online video as a source of information and entertainment. Therefore, video …

Automatic TV ad detection is a challenging task in computer vision. Manual ad detection is
considered a tedious job. Detecting advertisements automatically saves time and human …

This paper presents a suggested framework for video matching based on local features
extracted from the DC-image of MPEG compressed videos, without decompression. The …

Traditional video annotation approaches focus on annotating keyframes/shots or whole
videos with semantic keywords. However, the extraction processes of keyframes/shots might …