Image retrieval based on 4096-tree and Memetic Algorithm

Author

Liang Lei ; Jun Peng ; Bo Yang

Author_Institution

Coll. of Electr. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China

fYear

2014

fDate

18-20 Aug. 2014

Firstpage

379

Lastpage

385

Abstract

Memetic Algorithm (MA) is a meta-heuristic algorithm which combines an Evolutionary Algorithm (EA) and a local search algorithm. In this work, we design a cooperate memetic algorithm (CMA) for image retrieval. We propose a novel image indexing method based on YCbCr color space and 4096-tree. And then we describe the memetic algorithm with local search chain and cooperate memetic algorithm (MA-LSCH-CMA). The experiments and results, which based on Corel database, showed that this method has greatly improved the image retrieval in time and precision rates.

Keywords

evolutionary computation; image colour analysis; image retrieval; indexing; search problems; 4096-tree; CMA; Corel database; EA; MA-LSCH-CMA; YCbCr color space; cooperate memetic algorithm; evolutionary algorithm; image indexing method; image retrieval; local search algorithm; meta-heuristic algorithm; Algorithm design and analysis; Histograms; Image color analysis; Image retrieval; Indexing; Memetics; 4096-tree; Genetic Algorithm; Image Retrieval; Memetic Algorithm; YCbCr color space;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on

Conference_Location

London

Print_ISBN

978-1-4799-6080-4

Type

conf

DOI

10.1109/ICCI-CC.2014.6921487

Filename

6921487