Abstract
Nowadays, large percentage of digital data generated, is in the form of digital images. There is a need for the images to be retrievable when we query or search for them using keywords. One way to search for the images is to search the text or labels associated with the images. For this to be possible, metadata needs to be associated with the images. This can be done either manually by humans or automatically by using computer programs. The cost, effort, subjectivity, and lack of consistency in any human activity in repetitive and very large tasks, is well known. Automatic Image Annotation (AIA) is the process of associating images with metadata, labels and keywords by using computer programs. This paper presents the work done by various authors in past 4 years in this area of AIA.
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Rajesh, K.V.N., Lalitha Bhaskari, D. (2020). Automatic Image Annotation: A Review of Recent Advances and Literature. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 160. Springer, Singapore. https://doi.org/10.1007/978-981-32-9690-9_27
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DOI: https://doi.org/10.1007/978-981-32-9690-9_27
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