In this paper, the authors propose an interactive graphical interface suitable for semantic browsing of an image database. This interface allows user to explore the effects of features integration, multi-image queries and relevance feedback in enhancing the performance of an image retrieval system. Single image query is the retrieval model that is traditionally used, while the authors propose the implementation of a new methodology consisting of multiple query images. Features integration and feedback improve the performance of the proposed system significantly. These techniques require an interactive interface which is able to gather information from user and to show him the view of the image database closest to his requirements.
|Titolo:||An Interface for Semantic Browsing of an Images Database|
|Data di pubblicazione:||2004|
|Nome del convegno:||IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS 2004|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/VECIMS.2004.1397189|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|