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Create the page "Image analysis" on this wiki!
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- | domain = <!-- e.g. Medical, News, Picture --> Image; Content Analysis; information sources exploiting GPS data indicating the location at which an image was captured, but in3 KB (482 words) - 15:00, 11 July 2011
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- | task = Analysis == Media (image, video, mixed, …)==2 KB (262 words) - 16:59, 24 November 2010
- | task = analysis == Media (image, video, mixed, …)==1 KB (180 words) - 12:43, 26 November 2010
- | task = Analysis == Media (image, video, mixed, …)==644 B (64 words) - 18:53, 24 November 2010
- | media = Image | task = image analysis1 KB (182 words) - 16:37, 17 December 2010
- | media = Image, Video, Text * Multipurpose Image Archive (PEIPA, the Pilot European Image Processing Archive)2 KB (281 words) - 15:39, 24 November 2010
- | domain = <!-- e.g. Medical, News, Picture --> Image; Content Analysis; information sources exploiting GPS data indicating the location at which an image was captured, but in3 KB (482 words) - 15:00, 11 July 2011
- ...outdoors. Within this deliverable, we present an example analysis for five image captions, with a detailed discussion of the strengths and weaknesses of the3 KB (437 words) - 15:03, 11 July 2011
- ...luation of the Tripod services. This plan is organised around a functional analysis of augmentation; 2) Tripod automated caption content creation; 3) Tripod image retrieval; 4) Tripod4 KB (595 words) - 15:00, 11 July 2011
- ...oaches to tag network analysis and community detection, hybrid approach to image clustering, named entity recognition and classification with use of ontology, discovery of facets for improving image search and2 KB (250 words) - 08:43, 12 July 2011
- ...Descriptors for Object and Scene Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 32 (9), pages 1582-1596, 2010. ...color descriptors is assessed experimentally using two benchmarks from the image domain (PASCAL VOC 2007) and the video domain (Mediamill Challenge).980 B (130 words) - 09:24, 10 January 2011
- ... image and video, that provide textual information. Although, this kind of analysis does not provide directly any semantics, it is a critical step involving vi2 KB (315 words) - 14:27, 11 July 2011
- | media = Audio <!-- e.g. Image, Audio, Video, Text --> The core of the dataset is the feature analysis and metadata for one million songs, provided by [http://www.echonest.com Th3 KB (391 words) - 15:58, 18 April 2011
- | media = Image, Video, Audio, Text ...n for Support Vector Machines", Proc. 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2011), Delft, The Netherlands,2 KB (246 words) - 15:03, 9 June 2011
- | media = Music <!-- e.g. Image, Audio, Video, Text --> ...work of the [http://nema.lis.illinois.edu/ Networked Environment for Music Analysis (NEMA) project]. The NEMA projects aims to automate and expose the workings4 KB (491 words) - 14:21, 2 August 2011
- | event_fullname = Image Retrieval in CLEF (Cross-Language Evaluation Forum) <!-- full long even | media = Image <!-- e.g. Image, Audio, Video, Text -->5 KB (660 words) - 19:24, 12 January 2012
- | media = Image Each image of Pl@ntLeaves dataset is associated with the following meta-data:3 KB (409 words) - 16:40, 9 December 2011