Abstract
In this paper, we describe an interactive video browsing system based on a graph of linked video objects. The system automatically organizes unstructured video archives by exploiting visual content similarity between objects in the videos. By generating a video link graph, the system can conceptually groups the videos that contains same objects together for searching and browsing. Both the chosen measures of video object similarity and the video data mining technologies are discussed here and included in the related software demonstrator. In addition, the software offers a query-by-image-example video search capability to jump into the video graph at a certain point to begin browsing the archive.
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Zhang, Z., Gurrin, C., Guo, J. (2013). Browsing Linked Video Archives of WWW Video. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_49
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DOI: https://doi.org/10.1007/978-3-642-35728-2_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35727-5
Online ISBN: 978-3-642-35728-2
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