NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
Scene Text Extraction in Complex Images
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Video OCR: indexing digital new libraries by recognition of superimposed captions
Multimedia Systems - Special section on video libraries
Hybrid approach to efficient text extraction in complex color images
Pattern Recognition Letters
Content based image and video retrieval using embedded text
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
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Tracking, extraction and recognition of text from video are important steps in building efficient indexing and retrieval systems for multimedia databases. We propose a top-down approach in which multiple cues are used for detecting text blocks in videos. In our proposed text tracking and extraction system, color and edge features are combined together to increase the precision of text detection. Our system detects both caption text as well as scene text of different font, size, color and intensity. Our objective is to detect both stationary text and moving text from complex color video. Extracted texts from videos are recognized using an OCR and stored in a database with relevant information. Such texts are used in future for retrieval of video clips based on any given keyword. This paper shows comparative result of RGB and HSV based approaches using different types of domain and shows the result of text tracking in different scenarios.