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. © Springer-Verlag 2013.
Cite
CITATION STYLE
Zhang, Z., Gurrin, C., & Guo, J. (2013). Browsing linked video archives of WWW video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7733 LNCS, pp. 496–498). https://doi.org/10.1007/978-3-642-35728-2_49
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