Title :
The Design and Implementation of Image Information Retrieval
Author :
Xu, Hongbo ; Yao, Nianmin ; Hu, Wen ; Pan, Haiwei ; Gao, Xiang
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Abstract :
When an image database is queried with a particular example image ("show me similar images"), the corresponding feature vector is computed and the most similar feature vectors from the database are searched to display the most similar images in the database. This paper presents the design and implementation of a high-dimensional index application to facilitate the speedy searching in feature based image information retrieval, and the improvement for the k nearest neighbor query algorithm based on X-tree which is designed for high-dimensional indexing. Finally the performance evaluations are presented to show the merit of the algorithm.
Keywords :
database indexing; image retrieval; performance evaluation; tree data structures; visual databases; X-tree; feature vector; high-dimensional index application; image database querying; image information retrieval design; k-nearest neighbor query algorithm; performance evaluation; Algorithm design and analysis; Feature extraction; Indexing; Information retrieval; Measurement; Vectors; X-tree; feature vector; high-dimensional index; image information retrieval; nearest neighbor query;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.387
