Name-It: Naming and Detecting Faces in News Videos
IEEE MultiMedia
Video OCR: indexing digital new libraries by recognition of superimposed captions
Multimedia Systems - Special section on video libraries
Summed-area tables for texture mapping
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Text Detection from Natural Scene Images: Towards a System for Visually Impaired Persons
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Player identification in soccer videos
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Finding Text in Natural Scenes by Figure-Ground Segmentation
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
An Overview of the Tesseract OCR Engine
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Extraction of Text Objects in Video Documents: Recent Progress
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
From Gestalt Theory to Image Analysis: A Probabilistic Approach
From Gestalt Theory to Image Analysis: A Probabilistic Approach
Player number recognition in soccer video using internal contours and temporal redundancy
ICAI'09 Proceedings of the 10th WSEAS international conference on Automation & information
Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking for context extraction in athletic events
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Personalized Coverage of Large Athletic Events
IEEE MultiMedia
Detection of text on road signs from video
IEEE Transactions on Intelligent Transportation Systems
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
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We present an athlete identification module forming part of a system for the personalization of sport video broadcasts. The aim of this module is the localization of athletes in the scene, their identification through the reading of names or numbers printed on their uniforms, and the labelling of frames where athletes are visible. Building upon a previously published algorithm we extract text from individual frames and read these candidates by means of an optical character recognizer (OCR). The OCR-ed text is then compared to a known list of athletes' names (or numbers), to provide a presence score for each athlete. Text regions are tracked in subsequent frames using a template matching technique. In this way blurred or distorted text, normally unreadable by the OCR, is exploited to provide a denser labelling of the video sequences. Extensive experiments show that the method proposed is fast, robust and reliable, out-performing results of other systems in the literature.