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Content-based multimedia database indexing and retrieval tasks require automatic extraction of descriptive features that are relevant to the subject materials i.e., images, video etc. The typical low-level features that are extracted in images and video include measures of color, texture, or shape. Although these features can easily be obtained, they do not give a precise idea of the image content. Extracting more descriptive features and higher level entities, such as text and human faces is important. Text embedded in images and video, especially captions provide brief and important content information, such as the name of players or speakers, the title, location, date of an event, etc. Besides, text-based search has been successfully applied in many applications, while the robustness and computation cost of feature matching algorithms based on other high-level features is not efficient enough to be applied to large …