Content-Based Retrieval for European Image Libraries

نویسندگان

  • C L Bird
  • P J Elliott
  • P M Hayward
چکیده

The principles of content-based image retrieval (CBIR) are now well-established, with a continuing flow of publications exploring various aspects of the technology. Practical applications receive rather less attention and few fully-developed instances have been described. In this paper, we review the remarks made by other authors that led us to believe that it was important to investigate what users expect when using CBIR and how they react to the interface provided. We report the results of observing a number of subjects, with varying experience, while using a CBIR system to search for images. We interpret these observations and obtain insights into the role CBIR might play in meeting the challenge of image retrieval. The work is being carried out as part of the ELISE project (Electronic Library Image Service for Europe), which is partly funded by the European Commission under its Fourth Framework Libraries Programme.

برای دانلود 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

Image retrieval using the combination of text-based and content-based algorithms

Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...

متن کامل

Enabling Content-Based Image Retrieval in Very Large Digital Libraries

Enabling effective and efficient Content-Based Image Retrieval (CBIR) on Very Large Digital Libraries (VLDLs), is today an important research issue. While there exist well-known approaches for information retrieval on textual content for VLDLs, the research for an effective CBIR method that is also able to scale to very large collections is still open. A practical effect of this situation is th...

متن کامل

Content Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram

Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a  database. In medical applications, CBIR is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. As the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retri...

متن کامل

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

A Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features

Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999