Scalable mobile image retrieval by exploring contextual saliency

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Xiyu YangYao Xue

Abstract

Nowadays, it is very convenient to capture photos by a smart phone. As using, the smart phone is a convenient way to share what users experienced anytime and anywhere through social networks, it is very possible that we capture multiple photos to make sure the content is well photographed. In this paper, an effective scalable mobile image retrieval approach is proposed by exploring contextual salient information for the input query image. Our goal is to explore the high-level semantic information of an image by finding the contextual saliency from multiple relevant photos rather than solely using the input image. Thus, the proposed mobile image retrieval approach first determines the relevant photos according to visual similarity, then mines salient features by exploring contextual saliency from multiple relevant images, and finally determines contributions of salient features for scalable retrieval. Compared with the existing mobile-based image retrieval approaches, our approach requires less bandwidth and has better retrieval performance. We can carry out retrieval with <200-B data, which is <5% of existing approaches. Most importantly, when the bandwidth is limited, we can rank the transmitted features according to their con...Continue Reading

References

Aug 18, 2010·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yiming LiuJiebo Luo
Dec 1, 2011·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Rongrong JiQi Tian
Sep 10, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Shaoting ZhangDimitris N Metaxas

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Citations

Aug 5, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Xueming QianJunwei Han
Nov 10, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Xueming QianMeng Wang
Jan 17, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yuchen GuoLing Shao
Feb 1, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dingwen ZhangXiaojun Chang
May 4, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Xueming QianMeng Wang

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