Title :
Dynamic textures indexing and retrieval based on intrinsic properties
Author :
Jian, Muwei ; Lam, Kin-Man ; Dong, Junyu
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China
Abstract :
The indexing and retrieval of dynamic textures remains one of the most challenging tasks in both computer vision and computer graphics. This paper first introduces the concept of intrinsic properties of dynamic textures, including Static Texture Features (STF) and Dynamic Texture Features (DTF), and then proposes an efficient method that utilizes these intrinsic properties for the indexing and retrieval of dynamic textures. Our proposed method is evaluated and compared to existing methods based on a variety of video texture samples. Experimental results show that our scheme can produce promising results.
Keywords :
computer graphics; computer vision; image texture; video retrieval; DTF; STF; computer graphics; computer vision; dynamic texture feature; dynamic texture indexing; dynamic texture retrieval; static texture feature; video texture; Dynamics; Histograms; Image color analysis; Image retrieval; Indexing; Vectors;
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0218-0
DOI :
10.1109/ISCAS.2012.6272178