There has been an exponential growth in the amount of visual data on a daily basis
acquired from single or multi-view surveillance camera networks. This massive amount of …

Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

Image and video data analysis has become an increasingly important research area with
applications in different domains such as security surveillance, healthcare, augmented and …

Video summarization (VS) has attracted intense attention recently due to its enormous
applications in various computer vision domains, such as video retrieval, indexing, and …

The widespread usage of surveillance cameras in smart cities has resulted in a gigantic
volume of video data whose indexing, retrieval and management is a challenging issue …

Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …

Analyzing students' emotions from classroom videos can help both teachers and parents
quickly know the engagement of students in class. The availability of high-definition cameras …

Emotions play a key role in human communication and public presentations. Human
emotions are usually expressed through multiple modalities. Therefore, exploring …

Video surveillance system is the integration of computers, networks, communications, and
video CODEC, etc. Because of its distributed architecture, parallel image processing and …