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Content Based Image and Video Retrieval Using Embedded Text

  • Chinmaya Misra
  • Shamik Sural
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3852)

Abstract

Extraction of text from image and video is an important step in building efficient indexing and retrieval systems for multimedia databases. We adopt a hybrid approach for such text extraction by exploiting a number of characteristics of text blocks in color images and video frames. Our system detects both caption text as well as scene text of different font, size, color and intensity. We have developed an application for on-line extraction and recognition of texts from videos. Such texts are used for retrieval of video clips based on any given keyword. The application is available on the web for the readers to repeat our experiments and also to try text extraction and retrieval from their own videos.

Keywords

Video Frame Optical Character Recognition Text Region Video Retrieval Text Block 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chinmaya Misra
    • 1
  • Shamik Sural
    • 1
  1. 1.School of Information TechnologyIndian Institute of TechnologyKharagpurIndia

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