Abstract
In recent days of image processing, retrieval of images (IR) is very popular, important, and rapidly developing area of research in multimedia technology. There is a rapid increase in image transactions in the digital computer world. For various activities, most of the digital equipment generates images. This creates a massive picture archive. In recent years, a large amount of visual content from various fields, such as social media sites, medical images, and robotics, has been created and shared. Searching databases for similar information, i.e., content-based image retrieval (CBIR), is a long-established area of study, and real-time retrieval involves more effective and accurate methods. There are enormous methods of image retrieval. One of the approaches for obtaining low-level image characteristics is CBIR. Color, shape, texture and spatial position are some of the features. We have done extensive survey to understand CBIR, various retrieval techniques, image attributes, standard image datasets aimed at promoting a global view of the CBIR sector.
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Ajay, K.D.K., Malleswara Rao, V. (2022). Recent Techniques in Image Retrieval: A Comprehensive Survey. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2021. Advances in Intelligent Systems and Computing, vol 1413. Springer, Singapore. https://doi.org/10.1007/978-981-16-7088-6_41
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