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A Comprehensive Survey of Modern Content Based Image ...
Jaiswal, Kaul [8] concluded that content based image retrieval is not a replacement of to text based image retrieval. But integration of the two can result in satisfactory retrieval performance. Both author reviewed the main components of a content based image retrieval system. Authors also analyzed image feature representation, and indexing ....
A Novel Image Retrieval Based on Visual Words Integration ...
Related Work. Query By Image Content (QBIC) is the first system launched by IBM for image search [1, 3].After that, a variety of feature extraction techniques are proposed that are based on color, texture, shape and spatial layout [2–5, 27–34].The visual feature integration is applied to reduce the semantic gap between low-level image features and high-level image concepts [3, 5, 20, 21]....
Intelligent Content Based Image Retrieval System
performance of CBIR System, region level image representation is more close to human perception system. Hence region based image retrieval is in use for better results. Gerald ,[3]In this paper, discussion is over color features for image retrieval with usage of compression techniques...
A Novel Approach for Content-Based Image Indexing and ...
A Novel Approach for Content-Based Image Indexing and Retrieval System using Glo bal and Region Features Suresh Pabboju Professor, IT Dept, CBIT, Hyderabad Dr. A.Venu Gopal Reddy Professor, CSE Dept, Osmania University, Hyderabad Summary Recently, digital content has become a significant and inevitable...
Content-based image retrieval - Wikipedia
Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a recent scientific overview of the CBIR field). Content-based image retrieval is opposed to ......
An effective region-based image retrieval framework ...
We present a region-based image retrieval framework that integrates efficient region-based representation in terms of storage and retrieval and effective on-line learning capability. The framework consists of methods for image segmentation and grouping, indexing using modified inverted file, relevance feedback, and continuous learning....
Statistical Feature Based Image Classification and ...
database. proposed an approach for image retrieval from very large image database. In this paper, novel technique has been presented which uses histogram and color edge of an image with wavelet transform. Juho Kannalaet al [3] in their work presented a method for making image descriptors that effectively encode the data and also appropriate for ......
Design of Feature Extraction in Content Based Image ...
has stirred the development of effective and efficient retrieval systems. The application performs a simple color-based search in an image database for an input query image, using color, texture and shape to give the images which are similar to the input image as the output. The number of search results may vary...
Optimal Query-Based Relevance Feedback in Medical Image ...
In image retrieval domain, the early retrieval systems carried out based on annotating text to images in database, but this method did not provide user satisfaction, because the annotation process not only is subjective task but also is tedious work and time-consuming . Moreover, a series of words do not fully describe the image content....
Perceptual Shape-Based Natural Image Representation and ...
provides a novel and efficient image feature representation. Testing on standard benchmark datasets and comparison with other well-known methods show this shape analysis method using only compact feature vectors performs well and robustly for real world images. 1 Introduction Content-based image retrieval (CBIR) is the task of au-...
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