Paper Info
Title
A Color Prediction System for Interactive Drawing Based Image Retrieval on Mobile Devices
Abstract
Query suggestion plays a key role in improving the usability of image search. Textual Query Suggestion, widely used in existing search text-based image retrieval engines, is able to suggest a list of textual query terms based on users' query input. This paper presents a color prediction system dedicated to interactive drawing based image retrieval system on mobile devices. Usually, such systems retrieve the results after a complete sketch is submitted as input. We propose a color prediction system that recommends colors in the palette and predict drawings to assist users in creating queries. The predicted drawings can be fed to the retrieval system so it can retrieve results as soon as a user draws a stroke on the canvas. We conduct user studies to compare our system with a general drawing based image retrieval interface and show that our system can help users retrieve target image with an improved efficiency.
Year
DOI
Venue
2017
10.1109/ISM.2017.49
2017 IEEE International Symposium on Multimedia (ISM)
Keywords
Field
DocType
Query suggestion,search process,user interface
Computer vision,Information retrieval,Computer science,Usability,Image retrieval,Mobile device,Artificial intelligence,User studies,Sketch,Prediction system
Conference
ISBN
Citations 
PageRank 
978-1-5386-2938-3
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Zhan Xu1103.29
Guoping Qiu21306117.19