The explosive growth and widespread accessibility of community-contributed media content
on the Internet have led to a surge of research activity in multimedia search. Approaches that …

Advances in multimedia data acquisition and storage technology have led to the growth of
very large multimedia databases. Analyzing this huge amount of multimedia data to discover …

Real-world videos often have complex dynamics; methods for generating open-domain
video descriptions should be senstive to temporal structure and allow both input (sequence …

Solving the visual symbol grounding problem has long been a goal of artificial intelligence.
The field appears to be advancing closer to this goal with recent breakthroughs in deep …

Video captioning which automatically translates video clips into natural language sentences
is a very important task in computer vision. By virtue of recent deep learning technologies …

Person re-identification aims to identify the same pedestrians across different camera views
at different locations. This important yet difficult intelligent video analysis problem remains a …

In content-based image retrieval (CBIR), one of the most challenging and ambiguous tasks
is to correctly understand the human query intention and measure its semantic relevance …

Multimedia educational resources play an important role in education, particularly for
distance learning environments. With the rapid growth of the multimedia web, large numbers …

The ever-growing popularity of Kinect and inertial sensors has prompted intensive research
efforts on human action recognition. Since human actions were extracted from Kinect and …

In this paper, we propose a nonlinear structural hashing approach to learn compact binary
codes for scalable video search. Unlike most existing video hashing methods which …