Research Papers Library

Google Image Swirl A Large-Scale Content-Based Image Visualization System

Web image retrieval systems, such as Google or Bing image search, present search results as a relevance-ordered list. Although alternative browsing models (e.g. results as clusters or hierarchies) have been proposed in the past, it remains to be seen whether such models can be applied to large-scale image search. This work presents Google Image Swirl, a large-scale, publicly available, hierarchical image browsing system by automatically group the search results based on visual and semantic similarity. This paper describes methods used to build such system and shares the findings from 2-years worth of user feedback and usage statistics.

Download PDF

Get Exclusive Research Tips in Your Inbox

Receive Great tips via email, enter your email to Subscribe.
Please wait

airs logo

Association of Internet Research Specialists is the world's leading community for the Internet Research Specialist and provide a Unified Platform that delivers, Education, Training and Certification for Online Research.

Newsletter Subscription

Receive Great tips via email, enter your email to Subscribe.
Please wait

Follow Us on Social Media