|
|
|
|
LEADER |
05252nam a22005535i 4500 |
001 |
11105 |
003 |
DE-He213 |
005 |
20130725201550.0 |
007 |
cr nn 008mamaa |
008 |
100825s2010 gw | s |||| 0|eng d |
020 |
# |
# |
|a 9783642151811
|9 978-3-642-15181-1
|
024 |
7 |
# |
|a 10.1007/978-3-642-15181-1
|2 doi
|
050 |
# |
4 |
|a QA75.5-76.95
|
072 |
# |
7 |
|a UNH
|2 bicssc
|
072 |
# |
7 |
|a UND
|2 bicssc
|
072 |
# |
7 |
|a COM030000
|2 bisacsh
|
082 |
0 |
4 |
|a 025.04
|2 23
|
100 |
1 |
# |
|a M<U+00fc>ller, Henning.
|e editor.
|
245 |
1 |
0 |
|a ImageCLEF
|b Experimental Evaluation in Visual Information Retrieval /
|c edited by Henning M<U+00fc>ller, Paul Clough, Thomas Deselaers, Barbara Caputo.
|h [electronic resource] :
|
264 |
# |
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
|
300 |
# |
# |
|a XXVIII, 544 p.
|b online resource.
|
336 |
# |
# |
|a text
|b txt
|2 rdacontent
|
337 |
# |
# |
|a computer
|b c
|2 rdamedia
|
338 |
# |
# |
|a online resource
|b cr
|2 rdacarrier
|
347 |
# |
# |
|a text file
|b PDF
|2 rda
|
490 |
1 |
# |
|a The Information Retrieval Series,
|v 32
|x 1387-5264 ;
|
505 |
0 |
# |
|a Part I Introduction.-1 Seven Years of Image Retrieval Evaluation -- 2 Data Sets Created in ImageCLEF -- 3 Creating Realistic Topics for Image Retrieval EvaluaƠtion -- 4 RelevƠance Judgments for Image Retrieval Evaluation -- 5 Performance Measures Used in Image In-formation Retrieval -- 6 Fusion Techniques for Combining Textual and Visual InƠformation ReƠtrieval -- Part II Track Reports -- 7 Interactive Image Retrieval -- 8 PhoƠtoƠgraphic Image ReƠtrieval -- 9 The Wikipedia Image Retrieval Task -- 10 The RoƠbot ViƠsion Task -- 11 Object and Concept Recognition for Image Retrieval -- 12 The Medical Image Classification Task -- 13 The Medical Image Retrieval Task -- Part III Participant reƠports -- 14 Expansion and Re<U+0013>ranking Approaches for Multi<U+0013>modal ImƠage Retrieval using Text<U+0013>based Methods -- 15 Revisiting Sub<U+0013>topic Retrieval in the ImƠageCLEF 2009 Photo Retrieval Task -- 16 Knowledge Integration using Textual InforƠmation for ImprovƠing ImƠageCLEF Collections -- 17 Leveraging Image, Text and Cross<U+0013>media Similarities for DiƠversity<U+0013>focused Multimedia Retrieval -- 18 University of AmsƠterdam at the Visual Concept Detection and Annotation Tasks -- 19 Intermedia ConcepƠtual InƠdexing -- 20 ConƠceptual InƠdexing Contribution to ImageCLEF Medical Retrieval Tasks -- 21 Improving Early PreciƠsion in the ImageCLEF Medical Retrieval Task -- 22 Lung Nodule DeƠtection -- 23 Medical Image Classification at Tel Aviv and Bar Ilan Universities -- 24 Idiap on Medical Image Classi-fication -- Part IV External views -- 25 Press Association Images<U+0014> ImƠage Retrieval Challenges -- 26 Image Retrieval in a Commercial Setting -- 27 An OverƠview of Evaluation Campaigns in Multimedia ReƠtrieval.
|
520 |
# |
# |
|a The creation and consumption of content, especially visual content, is ingrained into our modern world. This book contains a collection of texts centered on the evaluation of image retrieval systems. To enable reproducible evaluation we must create standardized benchmarks and evaluation methodologies. The individual chapters in this book highlight major issues and challenges in evaluating image retrieval systems and describe various initiatives that provide researchers with the necessary evaluation resources. In particular they describe activities within ImageCLEF, an initiative to evaluate cross-language image retrieval systems which has been running as part of the Cross Language Evaluation Forum (CLEF) since 2003. To this end, the editors collected contributions from a range of people: those involved directly with ImageCLEF, such as the organizers of specific image retrieval or annotation tasks; participants who have developed techniques to tackle the challenges set forth by the organizers; and people from industry and academia involved with image retrieval and evaluation generally. Mostly written for researchers in academia and industry, the book stresses the importance of combing textual and visual information <U+0013> a multimodal approach <U+0013> for effective retrieval. It provides the reader with clear ideas about information retrieval and its evaluation in contexts and domains such as healthcare, robot vision, press photography, and the Web.
|
650 |
# |
0 |
|a Computer science.
|
650 |
# |
0 |
|a Computer system performance.
|
650 |
# |
0 |
|a Information storage and retrieval systems.
|
650 |
# |
0 |
|a Computer vision.
|
650 |
# |
0 |
|a Bioinformatics.
|
650 |
1 |
4 |
|a Computer Science.
|
650 |
2 |
4 |
|a Information Storage and Retrieval.
|
650 |
2 |
4 |
|a Image Processing and Computer Vision.
|
650 |
2 |
4 |
|a System Performance and Evaluation.
|
650 |
2 |
4 |
|a Computational Biology/Bioinformatics.
|
700 |
1 |
# |
|a Clough, Paul.
|e editor.
|
700 |
1 |
# |
|a Deselaers, Thomas.
|e editor.
|
700 |
1 |
# |
|a Caputo, Barbara.
|e editor.
|
710 |
2 |
# |
|a SpringerLink (Online service)
|
773 |
0 |
# |
|t Springer eBooks
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642151804
|
830 |
# |
0 |
|a The Information Retrieval Series,
|v 32
|x 1387-5264 ;
|
856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-15181-1
|
912 |
# |
# |
|a ZDB-2-SCS
|
950 |
# |
# |
|a Computer Science (Springer-11645)
|