Pein, Raoul Pascal and Lu, Joan (2007) A flexible image retrieval framework. In: Computational Science – ICCS 2007. Lecture Notes in Computer Science, 4489/2 . Springer, Berlin / Heidelberg, pp. 754-761. ISBN 9783-540725879
#2205-A_Flexible_Image_Retrieval_Framework-final.pdf - Accepted Version
Download (516kB) | Preview
This paper discusses a framework for image retrieval. Most current systems are based on a single technique for feature extraction and similarity search. Each technique has its advantages and drawbacks concerning the result quality. Usually they cover one or two certain features of the image, e.g. histograms or shape information.
The proposed framework is designed to be highly flexible, even if performance may suffer. The aim is to give people a platform to implement almost any kind of retrieval issues very quickly, whether it is content based or somehing else. The second advantage of the framework is the possibility to change retrieval characteristics within the program completely. This allows users to configure the ranking process as needed.
Downloads per month over past year
Repository Staff Only: item control page