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      SmartTennisTV: Automatic indexing of tennis videos

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          Abstract

          In this paper, we demonstrate a score based indexing approach for tennis videos. Given a broadcast tennis video (BTV), we index all the video segments with their scores to create a navigable and searchable match. Our approach temporally segments the rallies in the video and then recognizes the scores from each of the segments, before refining the scores using the knowledge of the tennis scoring system. We finally build an interface to effortlessly retrieve and view the relevant video segments by also automatically tagging the segmented rallies with human accessible tags such as 'fault' and 'deuce'. The efficiency of our approach is demonstrated on BTV's from two major tennis tournaments.

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          An Overview of the Tesseract OCR Engine

          R. Smith (2007)
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            Synthetic Data for Text Localisation in Natural Images

            In this paper we introduce a new method for text detection in natural images. The method comprises two contributions: First, a fast and scalable engine to generate synthetic images of text in clutter. This engine overlays synthetic text to existing background images in a natural way, accounting for the local 3D scene geometry. Second, we use the synthetic images to train a Fully-Convolutional Regression Network (FCRN) which efficiently performs text detection and bounding-box regression at all locations and multiple scales in an image. We discuss the relation of FCRN to the recently-introduced YOLO detector, as well as other end-to-end object detection systems based on deep learning. The resulting detection network significantly out performs current methods for text detection in natural images, achieving an F-measure of 84.2% on the standard ICDAR 2013 benchmark. Furthermore, it can process 15 images per second on a GPU.
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              Bayesian Network-Based Customized Highlight Generation for Broadcast Soccer Videos

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                Author and article information

                Journal
                04 January 2018
                Article
                1801.01430
                4520fa71-6453-43ee-847e-e879ac069725

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                10 pages, 4 figures, NCVPRIPG 2017 Accepted Paper (Best Paper Award Winner)
                cs.CV cs.IR

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