A generic content-based image search model and its key factors

Despite the popularity of text-based image search engines like Google Image Search and Yahoo Image Search, their incapability of catching the real content/ sense of images makes content-based image search engines necessary. However, currently efficient and popular content-based image search engines are rare. This may be due to unfriendly user interface, low precision ratio, low recall ratio, etc. This paper presents a generic content-based image search model and briefly analyzes its key factors.

[1]  Kyuseok Shim,et al.  WALRUS: a similarity retrieval algorithm for image databases , 1999, IEEE Transactions on Knowledge and Data Engineering.

[2]  James Ze Wang,et al.  Content-based image retrieval: approaches and trends of the new age , 2005, MIR '05.

[3]  Alberto Del Bimbo,et al.  Retrieval by Shape Similarity with Perceptual Distance and Effective Indexing , 2000, IEEE Trans. Multim..

[4]  B. S. Manjunath,et al.  An efficient color representation for image retrieval , 2001, IEEE Trans. Image Process..

[5]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..