Automatic topics segmentation for TV news video

Mounira Hmayda; Ridha Ejbali; Mourad Zaied

doi:10.1117/12.2268462

17 March 2017 Automatic topics segmentation for TV news video

Mounira Hmayda, Ridha Ejbali, Mourad Zaied

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034114 (2017) https://doi.org/10.1117/12.2268462
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

Automatic identification of television programs in the TV stream is an important task for operating archives. This article proposes a new spatio-temporal approach to identify the programs in TV stream into two main steps: First, a reference catalogue for video features visual jingles built. We operate the features that characterize the instances of the same program type to identify the different types of programs in the flow of television. The role of video features is to represent the visual invariants for each visual jingle using appropriate automatic descriptors for each television program. On the other hand, programs in television streams are identified by examining the similarity of the video signal for visual grammars in the catalogue. The main idea of the identification process is to compare the visual similarity of the video signal features in the flow of television to the catalogue. After presenting the proposed approach, the paper overviews encouraging experimental results on several streams extracted from different channels and compounds of several programs.

Citation Download Citation

Mounira Hmayda, Ridha Ejbali, and Mourad Zaied "Automatic topics segmentation for TV news video", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034114 (17 March 2017); https://doi.org/10.1117/12.2268462

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available