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CBIR
- Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval, Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network,CONTENT BASED IMAGE RETRIEVAL,Relevance Feedback,A survey of browsing models for content based
IEEE-SAR-image-
- ieee论文，主要是高分辨率SAR图像的特征提取与检索技术-ieee papers, mainly high-resolution SAR image feature extraction and retrieval technology
FULLTEXT01
- CBIR-Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is a
Content-based-Image-Retrieval
- Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is an i
SURVEY-ON-CONTENT-BASED-MEDICAL-IMAGE-RETRIEVAL-S
- survey on content based medical image retrieval system it contains pre processing feature extraction and selection methods
Emotion-Based-Image-Retrieval1-An-Artificial
- The amount of audio visual information available in digital format has grown exponently in recent years. Gigabytes of new images, audio and video clips are generated and stored every day, building up a huge, distributed, and mostly unstructured repos
3Semantic-content-analysis-and-annotation-of
- the demand for automatically recognizing and retrieving medical image for screening,reference and management is growing faster than ever.In this paper present an intelligent content based image retrieval system called I-Browsewhich integrate both ico