Add to ORKGWe describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images with one of five possible grades (YES, yes, neutral, no, NO) according to what he is looking for. The system returns the first 15 images with the highest probability of YES grade. The attributes used are a combination of color features. Three different machine learning techniques are compared
We present the concept of intelligent Content-Based Image Retrieval (iCBIR), which incorporates know...
Digital images are an increasingly important class of data, especially as computers become more usab...
Image retrieval is an important research field which has received great attention in the last decade...
We describe an interactive system for content based image retrieval. The system presents the user wi...
Now-a-days in many applications content based image retrieval from large resources has become an are...
Algorithms of Content-Based Image Retrieval (CBIR) have been well developed along with the explosion...
The paper addresses how relevance feedback can be used to improve the performance of content-based i...
In this paper, we propose a novel system that strives to achieve advanced content-based image retrie...
Content based image retrieval (CBIR) encompasses a variety of techniques with a goal to solve the pr...
Image retrieval techniques are useful in many image processing applications. Content based image ret...
Image retrieval is increasingly becoming an interesting filed of research as the images that users s...
Content-based image retrieval is an active research area that has been famous since 1990s. The main ...
From a human centered perspective three ingredients for Content-Based Image Retrieval (CBIR) were de...
Since the emergence of Internet, a gigantic volume of images have been uploaded into the Internet fr...
One of the tools that will be essential for future electronic publishing is a powerful image retriev...
We present the concept of intelligent Content-Based Image Retrieval (iCBIR), which incorporates know...
Digital images are an increasingly important class of data, especially as computers become more usab...
Image retrieval is an important research field which has received great attention in the last decade...
We describe an interactive system for content based image retrieval. The system presents the user wi...
Now-a-days in many applications content based image retrieval from large resources has become an are...
Algorithms of Content-Based Image Retrieval (CBIR) have been well developed along with the explosion...
The paper addresses how relevance feedback can be used to improve the performance of content-based i...
In this paper, we propose a novel system that strives to achieve advanced content-based image retrie...
Content based image retrieval (CBIR) encompasses a variety of techniques with a goal to solve the pr...
Image retrieval techniques are useful in many image processing applications. Content based image ret...
Image retrieval is increasingly becoming an interesting filed of research as the images that users s...
Content-based image retrieval is an active research area that has been famous since 1990s. The main ...
From a human centered perspective three ingredients for Content-Based Image Retrieval (CBIR) were de...
Since the emergence of Internet, a gigantic volume of images have been uploaded into the Internet fr...
One of the tools that will be essential for future electronic publishing is a powerful image retriev...
We present the concept of intelligent Content-Based Image Retrieval (iCBIR), which incorporates know...
Digital images are an increasingly important class of data, especially as computers become more usab...
Image retrieval is an important research field which has received great attention in the last decade...