iAvatar is an existing Tag-based Social Image Retrieval system. At present, it allows users to search for images based on the tags. To enhance iAvatar, concept detection would be included for the tags. Concept detection helps to organize the results returned and hence allow users to find their ideal images or further refine their search words. Concept detection will be presented graphically, hence the graphical layout and interface will be the main focus in this project. Concept detection also encompasses the concepts of pattern recognition via clustering and data visualization techniques to provide the results to the users in a clear and intuitive way. First, this project would explore the visualization elements including the way to...
Although over the past decades there has been remarkable progress in the field of computer vision, s...
Nowadays Social Media focus on users to billions of images, famous e commerce web sites such as Flip...
This paper seeks to unravel whether commonly available social tagged images can be exploited as a tr...
iAvatar is an existing Tag-based Social Image Retrieval system. At present, it allows users to searc...
The graphical social images retrieval system - iAVATAR (interActive VisuAl-representative TAgs Relat...
Tag-based social image search enables users to formulate queries using keywords. However, as queries...
Enabling users to annotate tags to images is a crucial feature for social image sharing websites as ...
The MIR Flickr collection consists of 25000 high-quality photographic images of thousands of Flickr ...
Tag is becoming a key supplementation to the information of the social media sharing items. With the...
Searching for the co-occurrence of two visual concepts in unlabeled images is an important step towa...
The MIR Flickr collection consists of 25000 high-quality photographic images of thousands of Flickr ...
Given the proliferation of geo-tagged images, the question of how to exploit geo tags and the underl...
Humans are adjusted to the environment and can easily recognize what they see around them or in imag...
mageCLEF introduced its first automatic annotation task for photos in 2006. The visual object and co...
Abstract—This paper addresses the problem of concept learn-ing for semantic image retrieval. Two typ...
Although over the past decades there has been remarkable progress in the field of computer vision, s...
Nowadays Social Media focus on users to billions of images, famous e commerce web sites such as Flip...
This paper seeks to unravel whether commonly available social tagged images can be exploited as a tr...
iAvatar is an existing Tag-based Social Image Retrieval system. At present, it allows users to searc...
The graphical social images retrieval system - iAVATAR (interActive VisuAl-representative TAgs Relat...
Tag-based social image search enables users to formulate queries using keywords. However, as queries...
Enabling users to annotate tags to images is a crucial feature for social image sharing websites as ...
The MIR Flickr collection consists of 25000 high-quality photographic images of thousands of Flickr ...
Tag is becoming a key supplementation to the information of the social media sharing items. With the...
Searching for the co-occurrence of two visual concepts in unlabeled images is an important step towa...
The MIR Flickr collection consists of 25000 high-quality photographic images of thousands of Flickr ...
Given the proliferation of geo-tagged images, the question of how to exploit geo tags and the underl...
Humans are adjusted to the environment and can easily recognize what they see around them or in imag...
mageCLEF introduced its first automatic annotation task for photos in 2006. The visual object and co...
Abstract—This paper addresses the problem of concept learn-ing for semantic image retrieval. Two typ...
Although over the past decades there has been remarkable progress in the field of computer vision, s...
Nowadays Social Media focus on users to billions of images, famous e commerce web sites such as Flip...
This paper seeks to unravel whether commonly available social tagged images can be exploited as a tr...