IdeaPanel: A Large Scale Inter-active Sketch-based Image Search System

In this work, we introduce the IdeaPanel system, an inter- active sketch-based image search engine with millions of im- ages. IdeaPanel enables users to sketch the target image in their minds and also supports tagging to describe their intentions. After a search is triggered, similar images will be returned in real time, based on which users can inter- actively re ne their query sketches until ideal images are returned. Di erent from existing work, most of which re- quires a huge amount of memory for indexing and match- ing, IdeaPanel can achieve very competitive performance but requires much less memory storage. IdeaPanel needs only about 240MB memory to index 1:3M images (less than 3% of previous MindFinder system). Due to its high accuracy and low memory cost, IdealPanel can scale up to much larg- er database and thus has larger potential to return the most desired images for users.