NDLI: A Fast and Effective Text Tracking in Compressed Video

Content Provider	IEEE Xplore Digital Library
Author	Haixia Jiang Guizhong Liu Xueming Qian Nan Nan Danping Guo Zhi Li Li Sun
Copyright Year	2008
Description	Author affiliation: Sch. of Electron. & Inf. Eng., Xi'an Jiaotong Univ., Xi'an (Haixia Jiang; Guizhong Liu; Xueming Qian; Nan Nan; Danping Guo; Zhi Li; Li Sun)
Abstract	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.
Starting Page	136
Ending Page	141
File Size	577225
Page Count	6
File Format	PDF
ISBN	9780769534541
DOI	10.1109/ISM.2008.59
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video compression Indexing Tracking Layout Event detection Information analysis Information retrieval Robustness Video sequences Discrete cosine transforms video text detection tracking
Content Type	Text
Resource Type	Article

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