Mining Image Databases by Content

نویسنده

  • Gerald Schaefer
چکیده

Visual information is becoming more important and at a rapid rate. However, creators and users are reluctant to annotate visual content making it difficult to search these collections. Content-based image retrieval (CBIR) techniques extract visual descriptors directly from image data and can hence be used in situations where textual information is not available. In this paper, we give a brief introduction on some of the basic colour descriptors that are employed in CBIR.

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

Association Rule Mining Based on Image Content

Image mining is concerned with knowledge discovery in image databases. We present a data mining approach to find association rules based on image content. The Data mining approach has four major steps: Preprocessing, Feature Extraction, Preparation of Transactional database and Association rule mining. The purpose of our experiments is to explore the feasibility of data mining approach.. Result...

متن کامل

Data Mining-Based CBIR System

Multimedia mining primarily involves information analysis and retrieval based on implicit knowledge. The ever increasing digital image databases on the internet has created a need for using multimedia mining on these databases for effective and efficient retrieval of images.

متن کامل

Browsing Image Databases by 2d Image Similarity Scatter Plots: Updates to the Iris System

In the context of multimedia information mining growth, image retrieval has an important place. The content-based image retrieval paradigm consists of computing image similarities by distances between image descriptors; important research efforts have been deployed by now for improving the description procedures. Still, the visualization of the similarity relations between images and the curren...

متن کامل

Mining multimedia data

Data Mining is a young but ourishing eld. Many algorithms and applications exist to mine di erent types of data and extract di erent types of knowledge. Mining multimedia data is, however, at an experimental stage. We have implemented a prototype for mining high-level multimedia information and knowledge from large multimedia databases. MultiMediaMiner has been designed based on our years of ex...

متن کامل

Mining Visual Concepts for Image Retrieval: A Case Study

We propose a mechanism of visual concept formation in image databases using self-organizing feature maps. Taking flag images as a case study, we managed to mine out a few visual concepts and hence enabled a content-based image retrieval system with the ability of searching by concepts.

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 2011