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

開(kāi)始從未

https://doi.org/10.1007/978-1-84628-246-1edia 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.

Pericarditis

https://doi.org/10.1007/978-1-84628-246-1ncept 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.

ATOPY

GNAW

Bruno Deval MD,Fran?ois Haab MDIn this chapter, several research issues related to content-based image retrieval are given. Although work has been done in all these areas, but still much work is required to be done to get more effective content-based image retrieval applications.

全神貫注于

Shape Feature,Modern content-based image retrieval techniques use visual features derived directly from the content of the image. Shape is an important visual feature of an image that can be used for efficient image retrieval. In this chapter, various shape features are introduced, which can be used in deriving a feature vector for CBIR techniques.

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978-981-13-4944-7Springer Nature Singapore Pte Ltd. 2017

ASTER

金盤(pán)是高原

https://doi.org/10.1007/978-1-84628-246-1eved from a large image database based on their content similarity. A number of techniques have been suggested by researchers for content-based image retrieval. In this chapter, a review of some state-of-the-art retrieval techniques is provided.