Title :
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
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;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
DOI :
10.1109/ICCI-CC.2014.6921487
