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Visual Retrieval with Relevance Feedback by Karishma Jain is a document available to read on EtoBox.
What is Visual Retrieval with Relevance Feedback about?
This document provides an overview of content-based visual information retrieval (CBVIR) and relevance feedback techniques. It discusses CBVIR systems and applications, visual features used in image retrieval, and relevance feedback methods that use positive and negative examples from users to improve search results through iterative steps. The document also reviews literature on learning similarity measures, challenges like the semantic gap, and various indexing and retrieval approaches for images.
- Author
- Karishma Jain
- Language
- EN