2017

Recent Advance in Content-based Image Retrieval: A Literature Survey

Zhou, Wengang, Li, Houqiang, Tian, Qi

Understand

The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval.

With the ignorance of visual content as a ranking clue, methods with text search techniques for visual retrieval may suffer inconsistency between the text words and visual content.
Content-based image retrieval (CBIR), which makes use of the representation of visual content to identify relevant images, has attracted sustained attention in recent two decades.
Such a problem is challenging due to the intention gap and the semantic gap problems.

Built on

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Then

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