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Relevance Feedback Techniques in Interactive Content-Based Image Retrieval (0)
| Content Provider | CiteSeerX |
|---|---|
| Author | Rui, Yong Huang, Thomas S. Mehrotra, Sharad |
| Description | Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many systems built. While these research efforts establish the basis of CBIR, the usefulness of the proposed approaches is limited. Specifically, these efforts have relatively ignored two distinct characteristics of CBIR systems: (1) the gap between high level concepts and low level features |
| File Format | |
| Language | English |
| Publisher Institution | In Storage and Retrieval for Image and Video Databases (SPIE |
| Access Restriction | Open |
| Subject Keyword | High Level Concept Interactive Content-based Image Retrieval Many Visual Feature Representation Distinct Characteristic Research Effort Low Level Feature Past Year Many System Relevance Feedback Technique Content-based Image Retrieval Active Research Area Cbir System |
| Content Type | Text |
| Resource Type | Article |
