2013 | OriginalPaper | Chapter
NII-UIT-VBS: A Video Browsing Tool for Known Item Search
Authors : Duy-Dinh Le, Vu Lam, Thanh Duc Ngo, Vinh Quang Tran, Vu Hoang Nguyen, Duc Anh Duong, Shin’ichi Satoh
Published in: Advances in Multimedia Modeling
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This paper introduces a video browsing tool for the known item search task. The key idea is to reduce the number of segments to further investigate by several ways such as applying visual filters and skimming representative keyframes. The user interface is optimally designed so as to reduce unnecessary navigations. Furthermore, a coarse-to-fine based approach is employed to quickly find the target clip.