By Topic

Effective car video retrieval using feature matching in a mobile video cloud

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Kuan-Hui Lee ; Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA ; Jenq-Neng Hwang ; Jang-Hee Yoo ; Kyoung-Ho Choi

This paper presents a novel application that intends to search a specific scene/location from car videos recorded by driving recorders. The car videos are assumed to be collected via a mobile video cloud, supported by wireless broadband networks, e.g., a WiMAX or LTE 4G networks. The search algorithm adopts SIFT feature matching and text motion compensated matching to retrieve the most probable video segments. Our contribution is to provide both SIFT and text matching a separate confidence level, and efficiently combine them to identify the matched video segments according to the continuity of significant feature matching. The experimental results show that the proposed algorithm achieves high accuracy retrieval rate up to 96.65%.

Published in:

Distributed Smart Cameras (ICDSC), 2012 Sixth International Conference on

Date of Conference:

Oct. 30 2012-Nov. 2 2012