Image annotation: Then and now

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摘要

Automatic image annotation (AIA) plays a vital role in dealing with the exponentially growing digital images. Image annotation helps in effective retrieval, organization, classification, auto-illustration, etc. of the image. It started in early 1990. However, in the last three decades, there has been extensive research in AIA, and various new approaches have been advanced. In this article, we review more than 200 references related to image annotation proposed in the last three decades. This paper is an attempt to discuss predominant approaches, its constraints and ways to deal. Each segment of the article exhibits a discourse to expound the finding and future research directions and their hurdles. This paper also presents performance evaluation measures with relevant and influential image annotation database.

论文关键词:Image annotation,Automatic image annotation,Multi-label classification,Image labeling,Image tagging,Annotation dataset,Annotation performance evaluation,Image features,Image retrieval

论文评审过程:Received 6 August 2018, Accepted 24 September 2018, Available online 1 October 2018, Version of Record 11 October 2018.

论文官网地址:https://doi.org/10.1016/j.imavis.2018.09.017