Scalable similar image search by joint indices

  • Authors:
  • Jing Wang;Jingdong Wang;Xian-Sheng Hua;Shipeng Li

  • Affiliations:
  • Peking University, Beijing, China;Microsoft Research Asia, Beijing, China;Microsoft Bing, Redmond, USA;Microsoft Research Asia, Beijing, China

  • Venue:
  • Proceedings of the 20th ACM international conference on Multimedia
  • Year:
  • 2012

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Abstract

Text-based image search is able to return desired images for simple queries, but has limited capabilities in finding images with additional visual requirements. As a result, an image is usually used to help describe the appearance requirements. In this demonstration, we show a similar image search system that can support the joint textual and visual query. We present an efficient and effective indexing algorithm, neighborhood graph index, which is suitable for millions of images, and use it to organize joint inverted indices to search over billions of images.