Automatic Caption Localization in Compressed Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural network-based text location in color images
Pattern Recognition Letters
Application of Planar Motion Segmentation for Scene Text Extraction
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Automatic Performance Evaluation for Video Text Detection
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Automatic Text Location in Natural Scene Images
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Extraction and recognition of artificial text in multimedia documents
Pattern Analysis & Applications
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
An automatic performance evaluation protocol for video text detection algorithms
IEEE Transactions on Circuits and Systems for Video Technology
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In this article, we focus on the problem of caption detection in video sequences. Contrary to most of existing approaches based on a single detector followed by an ad hoc and costly post-processing, we have decided to consider several detectors and to merge their results in order to combine advantages of each one. First we made a study of captions in video sequences to determine how they are represented in images and to identify their main features (color constancy and background contrast, edge density and regularity, temporal persistence). Based on these features, we then select or define the appropriate detectors and we compare several fusion strategies which can be involved. The logical process we have followed and the satisfying results we have obtained let us validate our contribution.