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A review on the application of structured sparse representation at image annotation

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Abstract

The increasing number of images on the Web and other information environments, needs efficient management and suitable retrieval especially by computers. Image annotation is a process which produces words for a digital image based on its content. Users prefer an image search based on text queries and keywords which has increased the use of image annotation. In this paper, we discuss the applicability of structured sparse representations at image annotation. First the components of image annotation and sparse representation are reviewed. Then, we survey the structure of sparse representation based on the image annotation algorithms. Next, the comparison of algorithm has been presented. Finally the paper concludes with some major challenges and open issues in image annotation using structured sparse representations.

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  1. Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran

    Vafa Maihami & Farzin Yaghmaee

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  1. Vafa Maihami
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  2. Farzin Yaghmaee
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Correspondence to Farzin Yaghmaee.

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Maihami, V., Yaghmaee, F. A review on the application of structured sparse representation at image annotation. Artif Intell Rev 48, 331–348 (2017). https://doi.org/10.1007/s10462-016-9502-x

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