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News Program Detection in TV Broadcast Videos

Published: 01 October 2016 Publication History

Abstract

Television news channels broadcast different kinds of content like debates, interviews, commercials along with news presentations. Real-time detection of these news programs or their retrieval from large volumes of stored broadcast videos is a challenging problem and is a necessary first step for broadcast analytics. News program detection is even harder in Indian context where closed caption text or program markers are not provided by TV news channels (not mandated by law). We propose a two-stage approach to classify news video segments. First, broadcast video shots are classified with multiple labels based on a set of audio-visual features. Second, sequences of these shot features are modeled to detect news programs. Another contribution of this work is the construction of a dataset of 120 hours of shot categories and news programs from Indian English news channels. We have experimented with SVM, HMM and CRF based classifiers and achieved a F1 score of 99% in detecting news programs while experimenting on our dataset.

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Cited By

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  • (2022)Only overlay text: novel features for TV news broadcast video segmentationMultimedia Tools and Applications10.1007/s11042-022-12917-w81:21(30493-30517)Online publication date: 6-Apr-2022
  • (2019)A system for semantic segmentation of TV news broadcast videosMultimedia Tools and Applications10.1007/s11042-019-08445-979:9-10(6191-6225)Online publication date: 13-Dec-2019
  • (2018)Comprehensive Dataset of Broadcast Soccer Videos2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)10.1109/MIPR.2018.00090(418-423)Online publication date: Apr-2018
  • Show More Cited By

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Published In

cover image ACM Conferences
MM '16: Proceedings of the 24th ACM international conference on Multimedia
October 2016
1542 pages
ISBN:9781450336031
DOI:10.1145/2964284
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2016

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Author Tags

  1. CRF
  2. HMM
  3. SVM
  4. TV news broadcast
  5. news program detection
  6. program level broadcast segmentation
  7. shot classification
  8. shot sequence modeling

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  • Short-paper

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MM '16
Sponsor:
MM '16: ACM Multimedia Conference
October 15 - 19, 2016
Amsterdam, The Netherlands

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MM '16 Paper Acceptance Rate 52 of 237 submissions, 22%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2022)Only overlay text: novel features for TV news broadcast video segmentationMultimedia Tools and Applications10.1007/s11042-022-12917-w81:21(30493-30517)Online publication date: 6-Apr-2022
  • (2019)A system for semantic segmentation of TV news broadcast videosMultimedia Tools and Applications10.1007/s11042-019-08445-979:9-10(6191-6225)Online publication date: 13-Dec-2019
  • (2018)Comprehensive Dataset of Broadcast Soccer Videos2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)10.1109/MIPR.2018.00090(418-423)Online publication date: Apr-2018
  • (2016)Generic TV advertisement detection using progressively balanced perceptron treesProceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing10.1145/3009977.3009995(1-8)Online publication date: 18-Dec-2016

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