An Iterative Thresholding Algorithm for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Spatial Thresholding Method for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Informedia Digital Video Library
Communications of the ACM
Automatic text recognition for video indexing
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
CONIVAS: content-based image and video access system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Digital Image Processing
Video Content Management in Consumer Devices
IEEE Transactions on Knowledge and Data Engineering
Recognizing Characters in Scene Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Text Extraction from Video for Content-Based Annotation and Retrieval
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Indexing Text Events in Digital Video Databases
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Image indexing using moments and wavelets
IEEE Transactions on Consumer Electronics
On the evolution of videotext description scheme and its validation experiments for MPEG-7
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
A multilingual, multimodal digital video library system
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Detection of Text Marks on Moving Vehicles
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 12th annual ACM international conference on Multimedia
Text Detection in Images Based on Unsupervised Classification of Edge-based Features
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Text detection, localization, and tracking in compressed video
Image Communication
2DVTE: A two-directional videotext extractor for rapid and elaborate design
Pattern Recognition
A new approach for overlay text detection and extraction from complex video scene
IEEE Transactions on Image Processing
Multimedia content analysis: the next wave
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
A comprehensive method for Arabic video text detection, localization, extraction and recognition
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Adaptive fuzzy text segmentation in images with complex backgrounds using color and texture
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Automated object extraction for medical image retrieval using the insight toolkit (ITK)
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Content based image and video retrieval using embedded text
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Text detection in images based on color texture features
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Fast rotation-invariant video caption detection based on visual rhythm
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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Textual information brings important semantic clues in video content analysis. In this paper we describe a method for detection and representation of text in video segments. The method consists of seven steps: Channel Separation, Image Enhancement, Edge Detection, Edge Filtering, Character Detection, Text Box Detection, and Text Line Detection. Our results show that this method can be applied to English as well as non-English text (such as Korean) with precision and recall of 85%.