Add to ORKGKämpfe TK. Content-based image retrieval and the use of neural networks for user adaptation. Bielefeld (Germany): Bielefeld University; 2006
This thesis examines the performance of features, extracted from a pre-trained deep convolutional ne...
The significant growth in the volume of image data has driven the demand for efficient techniques to...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Th...
In this paper proposed the content based image retrieval one of most technique of data and multimedi...
This chapter introduces neural networks for Content-Based Image Retrieval (CBIR) systems. It present...
Multimedia mining primarily involves, information analysis and retrieval based on implicit knowledge...
Multimedia mining primarily involves, information analysis and retrieval based on implicit knowledge...
Abstract — A content-based image retrieval system where an active learning strategy is used to gain ...
With the development of Internet technology and the popularity of digital devices, Content-Based Ima...
A content-based image retrieval (CBIR) system works on the low-level visual features of a user input...
Abstract- To retrieve an image from large image database is somehow very difficult task of image ret...
Content-based image retrieval has become an essential technique in multimedia data management. Howev...
SIGLEAvailable from British Library Document Supply Centre-DSC:2327.6831(6) / BLDSC - British Librar...
The Wienbibliothek im Rathaus, Vienna City Library, collected over 300 thousand posters scanned in h...
and other research outputs Improving content based image retrieval by identifying least and most cor...
This thesis examines the performance of features, extracted from a pre-trained deep convolutional ne...
The significant growth in the volume of image data has driven the demand for efficient techniques to...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Th...
In this paper proposed the content based image retrieval one of most technique of data and multimedi...
This chapter introduces neural networks for Content-Based Image Retrieval (CBIR) systems. It present...
Multimedia mining primarily involves, information analysis and retrieval based on implicit knowledge...
Multimedia mining primarily involves, information analysis and retrieval based on implicit knowledge...
Abstract — A content-based image retrieval system where an active learning strategy is used to gain ...
With the development of Internet technology and the popularity of digital devices, Content-Based Ima...
A content-based image retrieval (CBIR) system works on the low-level visual features of a user input...
Abstract- To retrieve an image from large image database is somehow very difficult task of image ret...
Content-based image retrieval has become an essential technique in multimedia data management. Howev...
SIGLEAvailable from British Library Document Supply Centre-DSC:2327.6831(6) / BLDSC - British Librar...
The Wienbibliothek im Rathaus, Vienna City Library, collected over 300 thousand posters scanned in h...
and other research outputs Improving content based image retrieval by identifying least and most cor...
This thesis examines the performance of features, extracted from a pre-trained deep convolutional ne...
The significant growth in the volume of image data has driven the demand for efficient techniques to...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Th...