A Unified Framework to Incorporate Soft Query into Image Retrieval Systems

نویسندگان

  • Cyrus Shahabi
  • Yi-Shin Chen
چکیده

We explore the use of soft computing and user defined classifications in multimedia database systems for content-based queries. With multimedia databases, due to subjectivity of human perception, an object may belong to different classes with different probabilities (“soft” membership), as opposed to “hard” membership supported by conventional database systems. Therefore, we propose a unified model that captures both hard and soft memberships. In practice, however, our model significantly increases the computation complexity (both online and off-line) and the storage complexity of content-based queries. Previously, we introduced a novel fuzzy-logic based aggregation technique to address the online computation complexity. In this paper, we propose novel techniques to cluster sparse user profiles (i.e., items with missing data) to reduce both the off-line computation complexity and the storage complexity.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

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...

متن کامل

Image Retrieval Using Dynamic Weighting of Compressed High Level Features Framework with LER Matrix

In this article, a fabulous method for database retrieval is proposed.  The multi-resolution modified wavelet transform for each of image is computed and the standard deviation and average are utilized as the textural features. Then, the proposed modified bit-based color histogram and edge detectors were utilized to define the high level features. A feedback-based dynamic weighting of shap...

متن کامل

Performance Evaluation of Medical Image Retrieval Systems Based on a Systematic Review of the Current Literature

Background and Aim: Image, as a kind of information vehicle which can convey a large volume of information, is important especially in medicine field. Existence of different attributes of image features and various search algorithms in medical image retrieval systems and lack of an authority to evaluate the quality of retrieval systems, make a systematic review in medical image retrieval system...

متن کامل

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...

متن کامل

Efficient Support of Soft Query in Image Retrieval Systems

We explore the use of soft computing and user defined classifications in multimedia database systems for contentbased queries. With multimedia databases, due to subjectivity of human perception, an object may belong to different classes with different probabilities (“soft” membership), as opposed to “hard” membership supported by conventional database systems. Therefore, we propose a unified mo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001