Big data is an emerging paradigm applied to datasets whose size is beyond the ability of
commonly used software tools to capture, manage, and process the data within a tolerable …

A video sequence is more than a sequence of still images. It contains a strong spatial–
temporal correlation between the regions of consecutive frames. The most important …

Recent increase in the use of video-based applications has revealed the need for extracting
the content in videos. Raw data and low-level features alone are not sufficient to fulfill the …

The increasing need of video based applications issues the importance of parsing and
organizing the content in videos. However, the accurate understanding and managing video …

A public safety event is a danger and urgent event that need early detection, quick response,
and accuracy recover. The efficient method for responding to a happening public safety …

Air quality forecasting is an effective way to protect public health by providing an early
warning against harmful air pollutants. Traditional methods mainly focus on neural network …

Detection and clustering of commercial advertisements plays an important role in multimedia
indexing also in the creation of personalized user content. In existing methodologies, the …

This paper describes an approach for automatic detection and evaluation of Region of
Interest (ROI) based on human psychology of interest and relevance. It is very challenging to …

Big data is an emerging paradigm applied to datasets whose size is beyond the ability of
commonly used software tools to capture, manage, and process the data within a tolerable …

Extracting spatial-temporal descriptors is a challenging task for video-based human action
recognition. We decouple the 3D volume of video frames directly into a cascaded temporal …