Titlebook: Content-Based Image Retrieval; Ideas, Influences, a Vipin Tyagi Book 2017 Springer Nature Singapore Pte Ltd. 2017 Image Retreival.Image Sea

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Case Study: An Event-Driven Language,he database are uniformly divided into multiple regions, and each region is assigned a 4-bit region code based upon its location relative to the central region. Dominant color and local binary pattern (LBP)-based texture features are extracted from these regions. Feature vectors together with their

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Case Study: An Event-Driven Language,n this technique, instead of extracting the features of the whole query image, features of the objects of interest are extracted using morphological operations. First, background subtraction is performed to reduce the effect of background intensities, then segmentation is performed, and the regions

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Case Study: An Event-Driven Language,image local and global information. It can be viewed as an integrated representation of both color and texture properties. HSV color space is quantized to 72 bins, and SRLD is computed using short run lengths of size 2 and 3 for each color in different orientations. Short run lengths at all orientat

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Vipin TyagiCovers state-of-the-art CBIR techniques.Provides a solid foundation for those working to advance the theory and practice of image retrieval.Includes information about various databases used in image r

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MPEG-7: Multimedia Content Description Standard,edia content using XML. MPEG-7 allows interoperable indexing, searching, and retrieval of video, images, audio, and other forms of multimedia data. In this chapter, the description tools standardized by MPEG-7 are introduced.

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Texture Feature,ncept of texture is introduced and a number of texture features are described. Various models of the texture are discussed which can be used in content-based image retrieval. A brief description of MPEG-7 texture descriptors is also provided.