In recent years, blogging has become an exploding passion among Internet communities.
By combining the grassroots blogging with the richness of expression available in video …

Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …

There is an urgent need to develop techniques that organize video data into more compact
forms or extract semantically meaningful information. Such operations can serve as a first …

Video retrieval has been widely used in many applications such as video surveillance,
object detection. Recently, the security of video retrieval systems has attracted much …

In this paper, a novel approach to video temporal decomposition into semantic units, termed
scenes, is presented. In contrast to previous temporal segmentation approaches that employ …

Retrieving videos from large repositories using image queries is important for many
applications, such as brand monitoring or content linking. We introduce a new retrieval …

Shot detection is widely used in video semantic analysis, video scene segmentation, and
video retrieval. However, this is still a challenging task, due to the weak boundary and a …

The integration of high data transmission rates and the recent digital multimedia technology,
paves the way to access a huge amount of video over the internet, in seconds. Additionally …

Models of visual attention rely on visual features such as orientation, intensity or motion to
predict which regions of complex scenes attract the gaze of observers. So far, sound has …

We present a fuzzy color histogram-based shot-boundary detection algorithm specialized for
content-based copy detection applications. The proposed method aims to detect both cuts …