An attribute
0 likes122 views
This document presents an attribute-assisted reranking model for web image search, focusing on refining text-based image search results by incorporating semantic attributes. It utilizes classifiers for predefined attributes to create attribute features for each image and employs a hypergraph to model relationships between images based on low-level visual and attribute features. Experiments conducted on 300 queries from the MSRA-MM v2.0 dataset show the effectiveness of this approach.
Related topics:1 of 1
Download to read offline
More Related Content
Similar to An attribute (20)
Ad
More from Shakas Technologies (20)
Ad
An attribute
- 1. AN ATTRIBUTE-ASSISTED RERANKING MODEL FOR WEB IMAGE SEARCH ABSTRACT Image search reranking is an effective approach to refine the text-based image search result. Most existing reranking approaches are based on low-level visual features. In this paper, we propose to exploit semantic attributes for image search reranking. Based on the classifiers for all the pre-defined attributes, each image is represented by a attribute feature consisting of the responses from these classifiers. A hypergraph is then used to model the relationship between images by integrating low-level visual features and attribute features. Hypergraph ranking is performed to order the images. Its basic principle is that visually similar images should have similar ranking scores. We conduct experiments on 300 queries in MSRA-MM V2.0 dataset. The experimental results demonstrate the effectiveness of our approach.