Video text detection provides an efficient approach to the
indexing, classification, retrieval and understanding of visual
content.
This unique text/reference presents a systematic introduction to
the latest developments in video text detection. Opening with a
discussion of the underlying theory and a brief history of video
text detection, the text proceeds to cover pre-processing and
post-processing techniques, character segmentation and recognition,
identification of non-English scripts, techniques for multi-modal
analysis, and performance evaluation. The detection of text from
both natural video scenes and artificially inserted captions is
examined. Various applications of the technology are also reviewed,
from license plate recognition and road navigation assistance, to
sports analysis and video advertising systems.
Topics and features: explains the fundamental theory in a
succinct manner, supplemented with thorough, up-to-date references
for further reading; highlights practical techniques to help the
reader understand and develop their own detection systems and video
text-based applications; discusses the state of the field from
historical progress to the latest cutting-edge developments; serves
as an easy-to-navigate reference, presenting the material in
self-contained chapters; reviews the entire process from
pre-processing to post-processing, including non-English script
detection and advanced multi-modal techniques.
This accessible yet comprehensive overview of video text
detection is essential reading for advanced students and
researchers in pattern recognition, document analysis, image
processing, video retrieval and related fields.
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