Query by sketch: An asymmetric sketch-vs-image retrieval system

Author

Wang, Yuxin ; Yu, Miao ; Jia, Qi ; Guo, He

Author_Institution

Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China

Volume

3

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

1368

Lastpage

1372

Abstract

This paper presents a novel query method in sketch-based image searching system. Semantically similar images can be retrieved via user-drawn sketches in large image collections. Firstly the system analyses the spatial distribution of user´s sketch and computes the weight map. And then the system extracts features from the query sketch. The edge map descriptor and haar wavelet transform feature are used, which can match user-drawn sketch with the target image efficiently. To substantiate our approach, we build a retrieval system and allow the user to express a query as a simple sketch portraying `what´ she/he is looking for. We also show how our method can be used for the asymmetric sketch-vs-image retrieval efficiently.

Keywords

Haar transforms; content-based retrieval; feature extraction; image retrieval; wavelet transforms; Haar wavelet transform feature; asymmetric sketch-vs-image retrieval system; edge map descriptor; feature extraction; sketch query method; sketch-based image searching system; user sketch spatial distribution; user-drawn sketch; weight map computation; Image color analysis; Image edge detection; Image retrieval; Visualization; Wavelet transforms; angular radial partition; content-based image retrieval; query by sketch; spatial structure analysis; weight map;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100457

Filename

6100457