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  1. Proceedings of the 3rd international workshop on Automated information extraction in media production (AIEMPro '10)
  2. Efficient video breakup detection and verification
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Technologies for next-generation multi-media libraries: the contentus project
Narrative theme navigation for sitcoms supported by fan-generated scripts
Towards automatic speaker retrieval for large multimedia archives
Implicit news recommendation based on user interest models and multimodal content analysis
Generic architecture for event detection in broadcast sports video
A novel video thumbnail extraction method using spatiotemporal vector quantization
Content-based video genre classification using multiple cues
Unsupervised event segmentation of news content with multimodal cues
Shiatsu: semantic-based hierarchical automatic tagging of videos by segmentation using cuts
Role-based identity recognition for telecasts
Automatic news recommendations via profiling
Efficient video breakup detection and verification

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Efficient video breakup detection and verification

Content Provider ACM Digital Library
Author Fassold, Hannes Winter, Martin Schallauer, Peter Hofmann, Albert
Abstract Automatic quality assessment for audiovisual media is an important task for several steps of the media production, delivery and archiving processes. In this paper we focus on the semi-automatic quality inspection of videos and propose a novel algorithm for the detection of severe visual distortions, commonly termed as 'Video Breakup'. In order to enable the efficient human interaction with quality analysis results we present the extended 'Quality Summary Viewer' application, which enables the user to efficiently verify the detected events. Moreover it allows the user to quickly grasp the frequency and strengths of these visual impairments in the content and allows for its overall quality appraisal. Evaluation on a huge, challenging dataset shows, that our algorithm is able to detect up to 97.3% of the events annotated by domain experts. Depending on the application specific needs, we can reach a false detection rate of only 0.1-1.5 per minute.
Starting Page 63
Ending Page 68
Page Count 6
File Format PDF
ISBN 9781450301640
DOI 10.1145/1877850.1877867
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Preservation Broadcast Visual impairment Video Production Cultural heritage Quality assessment Archives Summarization Video breakup
Content Type Text
Resource Type Article
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