Improving retrieval performance by relevance feedback
نویسندگان
چکیده
منابع مشابه
Improving retrieval performance by relevance feedback
Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce improved query formulations following an initial retrieval operation. The principal relevance feedback methods described over the years are examined briefly, and evaluation data are included to demonstrate the effectiveness of the various methods. Prescriptions are given for conducting text retrieval o...
متن کاملImproving image retrieval performance with negative relevance feedback
Learning user perception of an image is a challenging issue in interactive content-based image retrieval (CBIR) systems. These systems employ relevance feedback mechanism to learn user perception in terms of a set of model-parameters and in turn iteratively improve the retrieval performance. Since the quantity of user feedback is expected to be small, learning the user’s perception essentially ...
متن کاملImproving Relevance Feedback in Image Retrieval by Incorporating Unlabelled Images
In content-base image retrieval, relevance feedback (RF) schemes based on support vector machine (SVM) have been widely used to narrow the semantic gap between low-level visual features and high-level human perception. However, the performance of image retrieval with SVM active learning is known to be poor when the training data is insufficient. In this paper, the problem is solved by incorpora...
متن کاملDocument 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...
متن کاملImproving Content-Based Image Retrieval with Relevance Feedback
In this paper, we present an effective approach for improving content-based image retrieval (CBIR) with relevance feedback. A rectangular image segmentation technique is used for feature extraction in image retrieval. Then an image object matching algorithm is proposed for image retrieval. Finally, a feature reweighting approach is used for relevance feedback, which transforms object features i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the American Society for Information Science
سال: 1990
ISSN: 0002-8231,1097-4571
DOI: 10.1002/(sici)1097-4571(199006)41:4<288::aid-asi8>3.0.co;2-h