Title :
A scene recognition algorithm based on covariance descriptor
Author :
Ge, Yinghui ; Yu, Jianjun
Author_Institution :
Fac. of Inf. Sci. & Technol., Ningbo Univ., Ningbo
Abstract :
Covariance descriptor which is a good method for object detection represents a region of interest by using the covariance of d-features. Different scene images are regarded as textures with different labels in this paper, and then a novel scene recognition algorithm based on covariance descriptor is proposed. Firstly, the covariance feature of scene image is retrieved. Secondly, support vector machine is employed for training the combination classifiers which recognize the scene images. The experimental results demonstrate the feasibility and validity of the proposed algorithm.
Keywords :
covariance analysis; object recognition; support vector machines; combination classifiers; covariance descriptor; object detection; scene recognition algorithm; support vector machine; Computer science; Covariance matrix; Feature extraction; Image recognition; Image retrieval; Image segmentation; Information science; Layout; Support vector machine classification; Support vector machines; SVM; covariance descriptor; scene recognition;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670816