Learning-based video annotation is a promising approach to facilitating video retrieval and it
can avoid the intensive labor costs of pure manual annotation. But it frequently encounters …

As a type of artwork, comics is prevalent and popular around the world. However, despite
the availability of assistive software and tools, the creation of comics is still a labor-intensive …

ALTERNUMBER OF KEYFRAMES each scene, shot and frame. Keyframes are allocated
among the shots based on the importance value of each shot. The allocated number of …

The popularity of mobile devices equipped with various cameras has revolutionized modern
photography. People are able to take photos and share their experiences anytime and …

With the fast growth ofmultimedia information, content-based video anal-ysis, indexing and
representation have attracted increasing attention in re-cent years. Many applications have …

The ever increasing volume of video content on the Web has created profound challenges
for developing efficient indexing and search techniques to manage video data. Conventional …

In this work we have developed a photography model based on machine learning which can
assist a user in capturing high quality photographs. As scene composition and camera …

In this paper, we propose a nonparametric camera motion descriptor for video shot
classification. In the proposed method, a motion vector field (MVF) is constructed for each …

Several algorithms have been proposed to solve the problem of camera motion estimation in
digital videos. However, the distinction between translation along the x-axis (y-axis) and …

A method extracts an intensity of motion activity from shots in a compressed video. The
method then uses the intensity of motion activity to segment the video into easy and difficult …