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Automatic fine-grained hyperlinking of videos within a closed collection using scene segmentation

Published: 03 November 2014 Publication History

Abstract

This paper introduces a framework for establishing links between related media fragments within a collection of videos. A set of analysis techniques is applied for extracting information from different types of data. Visual-based shot and scene segmentation is performed for defining media fragments at different granularity levels, while visual cues are detected from keyframes of the video via concept detection and optical character recognition (OCR). Keyword extraction is applied on textual data such as the output of OCR, subtitles and metadata. This set of results is used for the automatic identification and linking of related media fragments. The proposed framework exhibited competitive performance in the Video Hyperlinking sub-task of MediaEval 2013, indicating that video scene segmentation can provide more meaningful segments, compared to other decomposition methods, for hyperlinking purposes.

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      cover image ACM Conferences
      MM '14: Proceedings of the 22nd ACM international conference on Multimedia
      November 2014
      1310 pages
      ISBN:9781450330633
      DOI:10.1145/2647868
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      Published: 03 November 2014

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      Author Tags

      1. concept detection
      2. data indexing
      3. keyword extraction
      4. scene segmentation
      5. video hyperlinking

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      MM '14: 2014 ACM Multimedia Conference
      November 3 - 7, 2014
      Florida, Orlando, USA

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      MM '14 Paper Acceptance Rate 55 of 286 submissions, 19%;
      Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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