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N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
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2nd Floor,
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Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
1. Impulse Technologies
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Prototype-Based Image Search Reranking
Abstract
The existing methods for image search reranking suffer from the
unreliability of the assumptions under which the initial text-based image search
result is employed in the reranking process. In this paper, we propose a prototype-
based reranking method to address this problem in a supervised, but scalable
fashion. The typical assumption that the top-N images in the text-based search
result are equally relevant is relaxed by linking the relevance of the images to their
initial rank positions. Then, we employ a number of images from the initial search
result as the prototypes that serve to visually represent the query and that are
subsequently used to construct meta rerankers. By applying different meta
rerankers to an image from the initial result, reranking scores are generated, which
are then aggregated using a linear model to produce the final relevance score and
the new rank position for an image in the reranked search result. Human
supervision is introduced to learn the model weights offline, prior to the online
reranking process. While model learning requires manual labeling of the results for
a few queries, the resulting model is query independent and therefore applicable to
any other query. The experimental results on a representative web image search
dataset comprising 353 queries demonstrate that the proposed method outperforms
the existing supervised and unsupervised reranking approaches. Moreover, it
improves the performance over the text-based image search engine by more than
25.48%.
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