[PDF] Top 20 Saliency for Image Description and Retrieval
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Saliency for Image Description and Retrieval
... The k-means method used in Chapter 4 has a number of disadvantages when it comes to building a vector quantiser for the construction of the ‘visual words’. For example, if a new set of images were to be added to the ... See full document
146
Visual Saliency Detection and its Application to Image Retrieval
... images. Image analysis and processing is often requires running computationally expensive ...an image is important over other parts allows for reduction of data to be ...including image compression, ... See full document
113
An Improved Content Based Image Retrieval Using A Multi-Scale Saliency Model
... data retrieval process needs a storage and search methodology to find the data according to the query ...the image data retrieval using the query ...for image search namely text or ...by ... See full document
6
Sketch-based Image Retrieval Using SRA Saliency
... queryfor image retrieval are known as sketch based image retrieval (SBIR) ...an image. As a solution to thisproblem, we propose a Sketch Based Image Retrieval approach ... See full document
10
Enhanced and Efficient Image Retrieval via Visual Attention and Saliency Features
... the saliency map, we compute the saliency regions by saliency segmentation and then by filtering the regions with inferior saliency we can obtain the original ...the saliency map into ... See full document
6
Image Retrieval with Saliency Object Weighted and Bag of Visual Pair
... To address this problem, this paper couples the color information into the BoF model as a complement to sift features, two different features are extracted to represent the same interest[r] ... See full document
7
Image Retrieval using Graph based Visual Saliency
... the saliency values of interest points can be computed based on their mutual ...their saliency model by training a support vector machine (SVM) on ICA ...top-down saliency map is formulated as ... See full document
9
Research on Saliency Detection
... salient image regions is useful for applications like image segmentation, adaptive compression, and region- based image ...Here, saliency is determined as the local contrast of an image ... See full document
10
Content Based Image Retrieval through Fundamental and Visual Feature Description Techniques
... The RGB color space is the most used color space for computer graphics. Note that R, G, and B stand here for intensities of the Red, Green, and Blue guns in a CRT, not for primaries as meant in the CIE RGB space. It is ... See full document
7
Human Oriented Content Based Image Retrieval using Clustering and Interactive Genetic Algorithm
... Content-based image retrieval (CBIR), also known as query by image content (QBIC) is the application of computer vision techniques to image retrieval problem, that is, problem of ... See full document
9
Privacy Issues in Content based Image Retrieval (CBIR) for Mobile Users, and a Proposed Solution
... such image retrieval problem, that searches for digital images in large databases by analyzing the contents of the image rather than the metadata or descriptions associated with the ... See full document
6
Online Full Text
... in image, held in Florence. Since then, the application of image database management technique became an area of research that attracted many ...each image (Text Based Image Retrieval – ... See full document
6
Region Based Image Retrieval Using MPEG-7 Visual Descriptor
... digital Image acquisition and storage ...content description efficient image retrieval ...like image, audio and video [1]. Content based image retrieval is an image ... See full document
5
An Integrated Approach for Image Inpainting Based On Saliency Detection
... input image into region and then compute color contrast at region level using color ...Define saliency for each region as weighted sum of region contrast to all other regions in the ...of image ... See full document
11
Content based Image Indexing & Retrieval
... It is well known that color is one of the most prominent queues for human visual perception and, due to this fact; it has seen a lot of research over the years, making color feature extraction relatively easy to ... See full document
6
Efficient content based image retrieval system for satellite image using SVM
... e.g., image retrieval problem, +1 denotes positive example, -1 Support vector machines (SVMs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns used ... See full document
7
Determination Of Image Quality Using Saliency Map
... overall saliency of the image. Itti proposed saliency model, which is based on biological ...Input image is divided into many topographic feature maps depending on size and extent of ...having ... See full document
5
Goal Directed Visual Search Based on Color Cues: Co-operative Effectes of Top-Down & Bottom-Up Visual Attention
... a Input image, b intensity Figure 3.5 Orientation Figure 3.6 Summation of the feature and salience maps bottom-up saliency Difference of Gaussian filters Figure 3.8 Color saliency Figure[r] ... See full document
81
Infrared and Visible Image Fusion based on Saliency Detection and Infrared Target Segment
... public image fusion ...typical image fusion algorithms were compared with the proposed framework: ratio of low-pass pyramid (RP), dual- tree complex wavelet transform (DTCWT), LP, DWT, CVT, NSCT, and ... See full document
10
A New Approach for Enhancing Image Retrieval using Neutrosophic Sets
... There have been researches using color feature as a query key for image retrieval in general, they use color histogram methods to obtain color feature information from an image. Color histogram ... See full document
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