T-IRS: Textual Query Based Image Retrieval System for Consumer Photos Yiming Liu, Dong Xu, Ivor W. Tsang
Jiebo Luo
School of Computer Engineering Nanyang Technological University Singapore
Kodak Research Laboratories Eastman Kodak Company Rochester, USA
{YMLiu,DongXu,IvorTsang}@ntu.edu.sg
[email protected]
ABSTRACT
ciated In this rich demonstration, textual descriptions we pre7(tre)5(n)25(t)-253(a)-259((qua)8(7(tri)7())-267(r)3re)5(a)8(l)7(-)-2(ti)7(me)-263(te)5(xtua)8(l)]TJ (captions, categories, etc.). -0.004 Tc 0 After a user provides a textual query (e.g., “boat”), our system automatically finds the positive web images that are related to the textual query “boat” as well as the negative
Large Collection of Web Images (with surrounding texts)
Textual Query
Automatic Web Image Retrieval
Raw Consumer Photos
Consumer Photo Retrieval
Top-Ranked Consumer Photos
Relevance Feedback
