An introduction to digital image processing
An introduction to digital image processing
Automatic Caption Localization in Compressed Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Contour-Based Robust Algorithm for Text Detection in Color Images
IEICE - Transactions on Information and Systems
Document Image Segmentation Using a 2D Conditional Random Field Model
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene detection in videos using shot clustering and sequence alignment
IEEE Transactions on Multimedia
Detecting and reading text in natural scenes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
Automatic detection and recognition of signs from natural scenes
IEEE Transactions on Image Processing
Text From Corners: A Novel Approach to Detect Text and Caption in Videos
IEEE Transactions on Image Processing
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images
IEEE Transactions on Image Processing
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
A comprehensive method for multilingual video text detection, localization, and extraction
IEEE Transactions on Circuits and Systems for Video Technology
New Fourier-Statistical Features in RGB Space for Video Text Detection
IEEE Transactions on Circuits and Systems for Video Technology
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With rapid intensification of existing multimedia documents and mounting demand for information indexing and retrieval, much endeavor has been done on extracting the text from images and videos. Text extraction in video documents, as a momentous research division of content-based information retrieval and indexing, continues to be a topic of much interest to researchers. Text extracting is demanding owing to a range of setbacks like complex background, varying font size, different style, lower resolution and blurring, position, viewing angle and so on. In this paper we propose a hybrid method where the two most well-liked text extraction methods explicitly region based method and connected component (CC) based method comes together. The former method is used to obtain the text prevailing confidence where as the latter is used for text extraction and grouping. The video splitting and key frame detection is followed by the preprocessing to designate the text region indicator. The extracted features are scrutinized using artificial neural network as the classifier and lastly grouped into words/lines based on the bounding box distance. We evaluated the performance of the proposed approach on various videos and obtained considerable results when weighed against the existing methods.