Automatic location of text in video frames
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Video OCR for Digital News Archive
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Photo time-stamp detection and recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
Fast photo time-stamp recognition based on SGNN
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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Time-stamp in image shows the time when an image was taken, and which is important information for retrieval. An automatic photo time-stamp recognition approach is proposed in this paper. The proposed method consists of three steps: 1) A photo is roughly segmented to determine which area contains the photo time-stamp. Four detecting areas are chosen in this step, which probably include the photo-stamp, and then their R component and G component are margin-detected using Sobel operator to determine whether the photo time-stamp is in them; 2) The area which contains time-stamp of the photo is finely segmented to locate each character; 3) Particle Swarm Optimization (PSO) algorithm is used to do template matching and optimization recognition to complete the photo time-stamp recognition. This approach needs no prior knowledge and off-line learning processes. Experimental results demonstrate that the proposed approach has high recognition accuracy.