[PDF] Top 20 Content Based Image Retrieval Based on YCbCr Approach

... visual content descriptor can be either global or ...whole image, whereas a local descriptor uses the visual features of regions or objects to describe the image ...an image is often divided ... See full document

... Sketch-based image retrieval (SBIR) can therefore be a very valuable information search tool, supplementary to keywords-based ...photo-realistic image prior to ...photo-realistic ... See full document

... the image or image parts with respect to changes in certain directions and the scale of the ...2-D image plane, one dimension of object information is lost ... See full document

... for content- based image retrieval has increased with increment size and volume of digital ...the image provided by the user. We proposed methodology, an image present by a set ... See full document

... Texture has also been used to separate and extract prominent regions of interest in an image and applies to the visual patterns that have properties of homogeneity independent of a single color or intensity. 1 ... See full document

... similar content is the central theme in the area of Content-Based Information ...visual content similar in color, texture, shape, motion and many other ...an image or a video ... See full document

... the content-based image retrieval (CBIR) is a new but widely adopted method for finding images from the image ...information retrieval methods. So, the content ... See full document

... an image retrieval system has become a challenging ...systems based on the text based retrieval but the need of image based retrieval system that takes an ... See full document

... Content Based Image retrieval (CBIR) is a technique where images are described by features such as color, texture, shape and combination of ...region based and content ... See full document

... an image, that is, text-based retrieval is ...the image contents, features of the image, like color, texture and shape that are automatically extracted from the images themselves have ... See full document

... Fig 2.1 describes the flow of a typical CBIR process although content based methods are efficient, they cannot always match user’s expectation. Relevance Feedback (RF) techniques are used to adjust the ... See full document

... of image has to be ...first image [45] is selected but nothing is said to process about the selecting an image as it is selected randomly or by the ...the retrieval system of images on large ... See full document

... 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

... In our experiments, we used the Corel database covering a wide range of semantic categories from natural scenes to artificial objects. The dataset is partitioned into 10 categories, including Butterfly, buildings, hills, ... See full document

... an image onto a set of wavelet basis functions. It decomposes image into sub images with different resolutions and different ...the image in four sub band LL, LH, HL, ... See full document

... Content-based image retrieval technique uses visual contents to search images from large scale image databases based on users’ ...area. Image content may include ... See full document

... of image process and computer vision, and is regarded by some as a subset of that ...the retrieval of images with desired characteristics from a collection of great ...size. Image processing covers a ... See full document

... retrieved image first is ...the retrieval subsystem a search is executed in the previously indexed ...form. Based on the result set we can again retrieve using another descriptor with different ... See full document

... each image, and then uses these as retrieval keys. Examples of image indexing schemes include the usefulness of text based indexing by the need to an external source to provide relevant images ... See full document

... 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 ...new ... See full document