A video text detection method based on key text points
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Scene text detection and tracking for a camera-equipped wearable reading assistant for the blind
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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The starting and ending (S & E) frames of each text that embeds in a scene or is graphically added to video, provide not only important clues for highlight events detection in semantic-based video analysis, indexing and retrieval but also hint for decoding the videos structure and classification. In this paper, a fast text tracking method of determining S & E frames is proposed, which consists of two modules: text matching, where a mean absolute difference (MAD) based line against line matching (LALM) criterion is proposed to determine whether the detected texts in two frames are similar or not; and S & E frames determination, where an MAD based line matching algorithm is introduced in the direct current (DC) domain to determine the accurate positions of the S&E frame. Experiments conducted with a variety of video sources show that the proposed text tracking method is fast and robust.