Abstract
Describing images in terms of keywords only does not satisfy the requirement of image retrieval in many domains. Present state of research in image retrieval allows representation of images in the form of their content, i.e., shape, color, texture, etc. Representation of images in their content has provided a significant level of achievement in image retrieval, yet the requirement of a methodology which allows storage and retrieval of image in all its possible representation is still needed. In current manuscript, a content-based image retrieval model has been presented which provides a methodology where image can be retrieved on the basis of similarity on multiple features.
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Saxena, P., Singh, S.K., Srivastava, M. (2020). Content-Based Retrieval of Multimedia Information Using Multiple Similarity Indexes. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_113
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DOI: https://doi.org/10.1007/978-981-15-0751-9_113
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