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27
Overview of the ImageCLEF 2007 object retrieval task
- In Working Notes of the 2007 CLEF Workshop
, 2007
"... Abstract. We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely used PASCAL object recognition data to train object recognition methods and on the IAPR TC-12 benchmar ..."
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Abstract. We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely used PASCAL object recognition data to train object recognition methods and on the IAPR TC-12 benchmark dataset from which images of objects of the ten different classes bicycles, buses, cars, motorbikes, cats, cows, dogs, horses, sheep, and persons had to be retrieved. Seven international groups participated using a wide variety of methods. The results of the evaluation show that the task was very challenging and that different methods for relevance assessment can have a strong influence on the results of an evaluation. 1
CONTENT-BASED IMAGE RETRIEVAL BASED ON COLOR-SPATIAL FEATURES
"... A novel technique for Content-Based Image Retrieval (CBIR) that employs both the color and spatial information of images is proposed. A maximum of three dominant color regions in an image together with its respective coordinates of the Minimum-Bounding Rectangle (MBR) are first extracted. Next, the ..."
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A novel technique for Content-Based Image Retrieval (CBIR) that employs both the color and spatial information of images is proposed. A maximum of three dominant color regions in an image together with its respective coordinates of the Minimum-Bounding Rectangle (MBR) are first extracted. Next, the Sub-Block technique is then used to determine the location of the dominant regions by comparing the coordinates of the region’s MBR with the four corners of the center of the location map. The cell number that is maximally covered by the region is supposedly to be assigned as the location index. However, the Sub-Block technique is not reliable because in most cases, the location index assigned is not the cell number that is maximally covered by the region and sometimes a region does not overlap with the cell number assigned at all. The effectiveness of this technique has been improved using the Improved Sub-Block technique by taking into consideration the total horizontal and vertical distances of a region at each location where it overlaps. The color-spatial technique is accessed on a Query-by-Example CBIR system consisting of 900 images. From the experiments it is shown that retrieval effectiveness has been significantly improved by 85.86%.
Colour Feature Extraction Techniques of Fruits: A Survey
"... There is a great significance of agriculture in India. Fruit grading can improve the revenue of fruits. In the automated fruit grading system the most important feature is its colour. So for any automated fruit grading system one should have the idea of colour space and segmentation needs to be perf ..."
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There is a great significance of agriculture in India. Fruit grading can improve the revenue of fruits. In the automated fruit grading system the most important feature is its colour. So for any automated fruit grading system one should have the idea of colour space and segmentation needs to be performed. As colour feature extraction has a vital role in grading, here a review of various colour feature extraction techniques in detail is provided.
Hybrid Zernike moments and color-spatial technique for content-based trademark retrieval
- In Proceedings of the International Symposium on Management Engineering
, 2006
"... Abstract:- The volume of registered trademarks is increasing tremendously in recent years. The task of copyright protection is increasingly difficult. In order to retrieve a similarly look trademark from a large trademark database, we present a method for such a system based on the image content, us ..."
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Abstract:- The volume of registered trademarks is increasing tremendously in recent years. The task of copyright protection is increasingly difficult. In order to retrieve a similarly look trademark from a large trademark database, we present a method for such a system based on the image content, using hybrid color and shape features. Zernike moments can be used as an effective descriptor of global shape of a trademark in a large size of trademark database while color-spatial feature can obtain spatial knowledge of pixels in an image. To retrieve similarly look trademark, we use a Weight Euclidean distance measure that commonly use in moment based vector matching. Experiment has been conducted on a database of 1000 trademark images. Key-Words:- Zernike moments, color-spatial, content-based trademark retrieval, Weight Euclidean distance,
23 New Types of Keypoints for Detecting Known Objects in Visual Search Tasks
"... Visual exploration of unknown environments is considered a typical and highly important task in intelligent robotics. Although robots with visual capabilities comparable to human skills (e.g. mushroom-picking robots or bird-viewing robots) are apparently unachievable in the near future, but the conc ..."
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Visual exploration of unknown environments is considered a typical and highly important task in intelligent robotics. Although robots with visual capabilities comparable to human skills (e.g. mushroom-picking robots or bird-viewing robots) are apparently unachievable in the near future, but the concept of robots able to search for known objects in unknown
Farzi, Image retrieval using color texture features extracted from Gabor Walsh Wavelet transform
- Journal of information science and telecommunicaltion, Vol 2, No 1, January-March
, 2014
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DOI: 10.2298/CSIS120122047C A Novel Content Based Image Retrieval System using K-means/KNN with Feature Extraction
"... Abstract. Image retrieval has been popular for several years. There are different system designs for content based image retrieval (CBIR) system. This paper propose a novel system architecture for CBIR system which combines techniques include content-based image and color analysis, as well as data m ..."
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Abstract. Image retrieval has been popular for several years. There are different system designs for content based image retrieval (CBIR) system. This paper propose a novel system architecture for CBIR system which combines techniques include content-based image and color analysis, as well as data mining techniques. To our best knowledge, this is the first time to propose segmentation and grid module, feature extraction module, K-means and k-nearest neighbor clustering algorithms and bring in the neighborhood module to build the CBIR system. Concept of neighborhood color analysis module which also recognizes the side of every grids of image is first contributed in this paper. The results show the CBIR systems performs well in the training and it also indicates there contains many interested issue to be optimized in the query stage of image retrieval.
Converting SVG Images to Text and Speech
"... There are contents with a strong visual component, e.g., in the engineering field, such as technical drawings, charts, diagrams, etc., virtually inaccessible for people with visual disabilities (blind, visually impaired, etc.). These contents are mostly vector based and can generally be found on the ..."
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There are contents with a strong visual component, e.g., in the engineering field, such as technical drawings, charts, diagrams, etc., virtually inaccessible for people with visual disabilities (blind, visually impaired, etc.). These contents are mostly vector based and can generally be found on the Web in various formats, but the recommended one is SVG. The authors created an online application to convert SVG images (containing simple geometric figures of various sizes, filling colours and thickness and colour filling contours) in textual and spoken description by a speech synthesizer, client side based, without browser plugins. This application also allows the user to navigate with efficiency through the image description using four levels of detail and keyboard commands. In this paper, the authors propose a novel method for image description based on the Gestalt theory, considering the cognitive load and, for the first time, providing users with visual impairments access to the full content of SVG images. Application tests were carried out with 11 users (eight normally sighted, two blind and one amblyopic), comparing descriptions made by the application and by humans. The authors concluded that, for all users, there were improvements of 9%, using the application. Considering only the visually impaired, this figure rises to 18%. 1.
Augmentation of Image Retrieval using Fractional Coefficients of Hybrid Wavelet Transformed Images with Seven Image Transforms 1
"... The paper presents novel Content Based Image Retrieval (CBIR) methods using hybrid wavelet transforms generated from the combination of Cosine transform matrix with seven different transforms namely Walsh, Haar, Kekre, Slant, Hartley, Sine (DST) and Cosine (DCT). Here the feature vector size per ima ..."
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The paper presents novel Content Based Image Retrieval (CBIR) methods using hybrid wavelet transforms generated from the combination of Cosine transform matrix with seven different transforms namely Walsh, Haar, Kekre, Slant, Hartley, Sine (DST) and Cosine (DCT). Here the feature vector size per image is greatly reduced by taking fractional coefficients of the transformed image. The feature vectors are extracted in fifteen different ways from the transformed image. Apart from considering 100 % coefficients of the transformed image, fourteen reduced coefficients sets (as
MEAN-SHIFT ANALYSIS FOR IMAGE AND VIDEO APPLICATIONS
, 2005
"... that I have read this thesis and that in my opinion it is fully adequate, ..."
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that I have read this thesis and that in my opinion it is fully adequate,