TEVI: Text Extraction for Video Indexing
نویسندگان
چکیده
Efficient indexing and retrieval of digital video is an important aspect of video databases. One powerful index for retrieval is the text appearing in them. It enables content based browsing. In this paper, we describe a system for detecting and extracting text appearing in video frames A supervised learning method based on color and edge information is used to detect text regions. After an unsupervised clustering for text segmentation and binarization is applied using color information. Experimental results demonstrate that the proposed approach is robust for font-size, font-color, background complexity and language. Key-words– video OCR, multi-frame integration, text detection, localization, segmentation, neural networks, fuzzy C-means.
منابع مشابه
Survey of Region-Based Text Extraction Techniques for Efficient Indexing of Image/Video Retrieval
With the dramatic increase in multimedia data, escalating trend of internet, and amplifying use of image/video capturing devices; content based indexing and text extraction is gaining more and more importance in research community. In the last decade, many techniques for text extraction are reported in the literature. Methodologies of text extraction from images/videos is generally comprises of...
متن کاملText Based Approach For Indexing And Retrieval Of Image And Video: A Review
Text data present in multimedia contain useful information for automatic annotation, indexing. Extracted information used for recognition of the overlay or scene text from a given video or image. The Extracted text can be used for retrieving the videos and images. In this paper, firstly, we are discussed the different techniques for text extraction from images and videos. Secondly, we are revie...
متن کاملRobust Extraction of Text in Video
Despite advances in the archiving of digital video, we are still unable to efficiently search and retrieve the portions that interest us. Video indexing by shot segmentation has been a proposed solution and several research efforts are seen in the literature. Shot segmentation alone cannot solve the problem of content based access to video. Recognition of text in video has been proposed as an a...
متن کاملText Mining Support in Semantic Annotation and Indexing of Multimedia Data
This short paper is describing a demonstrator that is complementing the paper “Towards Cross-Media Feature Extraction” in these proceedings. The demo is exemplifying the use of textual resources, out of which semantic information can be extracted, for supporting the semantic annotation and indexing of associated video material in the soccer domain. Entities and events extracted from textual dat...
متن کاملText information extraction in images and video: a survey
Text data present in images and video contain useful information for automatic annotation, indexing, and structuring of images. Extraction of this information involves detection, localization, tracking, extraction, enhancement, and recognition of the text from a given image. However, variations of text due to differences in size, style, orientation, and alignment, as well as low image contrast ...
متن کامل