Image Label Wikification Collection (ILWC) is a test collection for evaluating systems that link descriptional labels of images to Wikipedia pages as the labels' entities. ILWC consists of 450 images and a total of 2,280 user-assigned labels with manual correct annotations. This collection contains following files: image_URL.txt topics.txt rels.txt ImageCLEF_concepts.txt image_URL.txt is a list of image files and Flickr URLs from which the files were downloaded. topics.txt is a topic file. First two letters of topic ID in the topic file correspond to the collection category of animal names. The correspondence is as follows: Albatross Bee Bison Boar Coyote Cricket Jaguar Kite Llama Mouse, Panther Quail, Stingray ...
Summarization: DOG I (Dog OntoloGy Image annotator) is a complete and fully automated semantic annot...
The number of World-Wide Web (WWW) documents available to users of the Internet is growing at an inc...
The Photo Annotation Task poses the challenge for automated annotation of 53 visual concepts in Flic...
This folder contains four Image Annotation Datasets (ESPGame, IAPR-TC12, ImageCLEF 2011, ImagCLEF 20...
Research in object detection and recognition in cluttered scenes requires large image collections wi...
htmlabstractThe wikipedia image retrieval task at ImageCLEF provides a testbed for the system-orient...
Central to the development of computer vision systems is the collection and use of annotated images ...
Image classification and retrieval plays a significant role in dealing with large multimedia data on...
We present a new approach for the analysis of large image collections. We argue that categorization ...
Automatic image annotation is the task of automatically assigning some form of semantic label to ima...
We present a new approach for the analysis of large image collections. We argue that categorization ...
It is very attractive to exploit weakly-labeled image dataset for multi-label annotation application...
ImageCLEF's Wikipedia Retrieval task provides a testbed for the system-oriented evaluation of multim...
Up to the present, the contemporary studies are not really successful in image annotation due to som...
It is very attractive to exploit weakly-labeled image dataset for multi-label annotation application...
Summarization: DOG I (Dog OntoloGy Image annotator) is a complete and fully automated semantic annot...
The number of World-Wide Web (WWW) documents available to users of the Internet is growing at an inc...
The Photo Annotation Task poses the challenge for automated annotation of 53 visual concepts in Flic...
This folder contains four Image Annotation Datasets (ESPGame, IAPR-TC12, ImageCLEF 2011, ImagCLEF 20...
Research in object detection and recognition in cluttered scenes requires large image collections wi...
htmlabstractThe wikipedia image retrieval task at ImageCLEF provides a testbed for the system-orient...
Central to the development of computer vision systems is the collection and use of annotated images ...
Image classification and retrieval plays a significant role in dealing with large multimedia data on...
We present a new approach for the analysis of large image collections. We argue that categorization ...
Automatic image annotation is the task of automatically assigning some form of semantic label to ima...
We present a new approach for the analysis of large image collections. We argue that categorization ...
It is very attractive to exploit weakly-labeled image dataset for multi-label annotation application...
ImageCLEF's Wikipedia Retrieval task provides a testbed for the system-oriented evaluation of multim...
Up to the present, the contemporary studies are not really successful in image annotation due to som...
It is very attractive to exploit weakly-labeled image dataset for multi-label annotation application...
Summarization: DOG I (Dog OntoloGy Image annotator) is a complete and fully automated semantic annot...
The number of World-Wide Web (WWW) documents available to users of the Internet is growing at an inc...
The Photo Annotation Task poses the challenge for automated annotation of 53 visual concepts in Flic...