The week's pick
Reseach Article
Content based Image Retrival
| International Conference on Emerging Technology Trends |
| Foundation of Computer Science USA |
| ICETT2011 - Number 3 |
| None 2011 |
| Authors: S.Dharani, Dr.B.Justus Rabi, Dr.A.N.Nanda Kumar, J.Patrick Joe Carmel |
| 4c5792f0-836d-4b5a-92c5-2a6b25b2ae28 |
S.Dharani, Dr.B.Justus Rabi, Dr.A.N.Nanda Kumar, J.Patrick Joe Carmel . Content based Image Retrival. International Conference on Emerging Technology Trends. ICETT2011, 3 (None 2011), 32-37.
Abstract
In this paper, we propose a content-based image retrieval system which takes into account the local attributes of the image for defining the feature space. This method presents a way to localize the characteristics of the queries by partitioning the image into a rectangular grid and applying a different feature vector to each region in the similar measuring phase. The assignment map specifying the feature space for each image region is implicitly selected by the user, through the system interface, according to perception of the content. This is the most important aspect of the system, which provides flexibility to the user to query at the object level by selecting the “type” of the regions. User only intervention to the system is at this phase, but the way of preparing the query, directs the system’s similarity calculation in the later stages. The experiments indicate that the proposed system yields better results for images having distinctive objects compared to global systems using the same features for the entire image.
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