Interactive Exploration for Image Retrieval

Interactive Exploration for Image Retrieval

In this paper, we present a new version of our content-based image retrieval system RETIN. It is based on adaptive quantization of the color space, together with new features aiming at representing the spatial relationship between colors. Color analysis is also extended to texture. Using these powerful indexes, an original interactive retrieval strategy is introduced. The process is based on tw...

Interactive Facial Image Retrieval

Interactive image retrieval is a powerful tool for image queries without input examples. For example, it is useful when searching a photo of a specified criminal only through the recalling of the witness. Unlike traditional text search engine working on input strings or keywords, a system which supports image query is usually required to learn opinions from users by relevance feedback and the r...

Interactive Semantic Image Retrieval

The big challenge in current content-based image retrieval systems is to reduce the semantic gap between the low level-features and high-level concepts. In this paper, we have proposed a novel framework for efficient image retrieval to improve the retrieval results significantly as a means to addressing this problem. In our proposed method, we first extracted a strong set of image features by u...

Interactive Tablets for Collaborative 3D Image Exploration

Attentional Mechanisms for Interactive Image Exploration

A lot of work has been devoted to content-based image retrieval from large image databases. The traditional approaches are based on the analysis of the whole image content both in terms of low-level and semantic characteristics. We investigate in this paper an approach based on attentional mechanisms and active vision. We describe a visual architecture that combines bottom-up and topdown approa...