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Content-Based Image Retrieval Techniques: A Review

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Content-Based Image Retrieval

Abstract

In recent years, a rapid increase in the size of digital image databases has been observed. Everyday gigabytes of images are generated. Consequently, the search for the relevant information from image and video databases has become more challenging. To get accurate retrieval results is still an unsolved problem and an active research area. Content-based image retrieval (CBIR) is a process in which for a given query image, similar images are retrieved 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.

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  1. Department of Computer Science Engineering, Jaypee University of Engineering and Technology, Guna, India

    Vipin Tyagi

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Tyagi, V. (2017). Content-Based Image Retrieval Techniques: A Review. In: Content-Based Image Retrieval. Springer, Singapore. https://doi.org/10.1007/978-981-10-6759-4_2

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