Semantic Image Retrieval Using Relevance Feedback

Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

Semantic Image Retrieval Using Relevance Feedback

This paper presents optimized interactive content-based image retrieval framework based on AdaBoost learning method. As we know relevance feedback (RF) is online process, so we have optimized the learning process by considering the most positive image selection on each feedback iteration. To learn the system we have used AdaBoost. The main significances of our system are to address the small tr...

Semantic Image Retrieval Using Relevance Feedback and Transaction Logs

Semiautomatic Image Retrieval Using the High Level Semantic Labels

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...

Tal Semantic - oriented 3 d shape retrieval using relevance feedback ∗

G. Leifman ( ) ·R. Meir ·A. Tal Department of Electrical Engineering Technion – Israel Institute of Technology {gleifman@techunix, rmeir@ee, ayellet@ee}.technion.ac.il ∗ This work was partially supported by European FP6 NoE grant 506766 (AIM@SHAPE), by the Israeli Ministry of Science, grant 01-01-01509 and by the Ollendorff foundation. Abstract Shape-based retrieval of 3D models has become an i...