Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100457
