NDLI: TV commercial segmentation using audiovisual features and support vector machine

Content Provider	IEEE Xplore Digital Library
Author	Bo Zhang Teng Li Peng Ding Bo Xu
Copyright Year	2012
Description	Author affiliation: Institute of Automation, Chinese Academy of Sciences, Beijing, China (Bo Zhang; Teng Li; Peng Ding; Bo Xu)
Abstract	Commercial management is an emerging technology. Most of the previous works are focus on detection of commercial blocks, while ignoring the segmentation of commercials which is an primary step of funding the known commercial database. In this paper, we transform the problem to commercial boundary detection, and propose a novel method to fuse audio and visual features to find the individual commercial boundary. Audiovisual features such as FMPI (Image Frames Marked with Product Information) and speaker change probability are extracted for each shot boundary. And then, contextual features which are generated from these basic audiovisual features are used to predict the probabilities of commercial boundary for every shot boundary. At last, a post-processing method is utilized to refine the result. Experiments show a promising result on a commercial database from TV channels in China.
Starting Page	326
Ending Page	329
File Size	369485
Page Count	4
File Format	PDF
ISBN	9781467324656
e-ISBN	9781467324670
DOI	10.1109/MSNA.2012.6324579
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Visualization TV Image color analysis Databases Audiovisual Feature Commercial Segmentation Commercial Management Streaming media Speaker Change Detection Feature extraction Commercial Detection
Content Type	Text
Resource Type	Article

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