Localization and recognition of the scoreboard in sports video based on SIFT point matching
Guo, Jinlin and Gurrin, Cathal and Lao, Songyang and Foley, Colum and Smeaton, Alan F. (2011) Localization and recognition of the scoreboard in sports video based on SIFT point matching. In: 17th International Conference on MultiMedia Modeling (MMM2011), 5-7 Jan 2011, Taipei, Taiwan.
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In broadcast sports video, the scoreboard is attached at a fixed location in the video and generally the scoreboard always exists in all video frames in order to help viewers to understand the match’s progression quickly. Based on these observations, we present a new localization and recognition method for scoreboard text in sport videos in this paper. The method first matches the Scale Invariant Feature Transform (SIFT) points using a modified matching technique between two frames extracted from a video clip and then localizes the scoreboard by computing a robust estimate of the matched point cloud in a two-stage non-scoreboard filter process based on some domain rules. Next some enhancement operations are performed on the localized scoreboard, and a Multi-frame Voting Decision is used. Both aim to increasing the OCR rate. Experimental results demonstrate the effectiveness and efficiency of our proposed method.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Localization and Recognition of Scoreboard; SIFT Points
Matching; Sports Video|
|Subjects:||Computer Science > Information storage and retrieval systems|
Computer Science > Image processing
|DCU Faculties and Centres:||UNSPECIFIED|
|Published in:||Proceedings of the 17th international conference on Advances in multimedia modeling. Lecure Notes in Computer Science .|
|Use License:||This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License|
|Deposited On:||07 Oct 2011 11:35 by Jinlin Guo. Last Modified 12 Jan 2017 11:44|
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