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Image and Video Retrieval

Overview of attention for book
Cover of 'Image and Video Retrieval'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Pattern Mining in Large-Scale Image and Video Sources
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    Chapter 2 Computer Vision in the Movies: From the Lab to the Big Screen
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    Chapter 3 Image and Video Retrieval Using New Capture and Display Devices
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    Chapter 4 Models of Interaction with Video Information
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    Chapter 5 User Strategies in Video Retrieval: A Case Study
  7. Altmetric Badge
    Chapter 6 Video Content Foraging
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    Chapter 7 Using Maximum Entropy for Automatic Image Annotation
  9. Altmetric Badge
    Chapter 8 Everything Gets Better All the Time, Apart from the Amount of Data
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    Chapter 9 An Inference Network Approach to Image Retrieval
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    Chapter 10 Small Sample Size Performance of Evolutionary Algorithms for Adaptive Image Retrieval
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    Chapter 11 Co-retrieval: A Boosted Reranking Approach for Video Retrieval
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    Chapter 12 HMM Model Selection Issues for Soccer Video
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    Chapter 13 Tennis Video Analysis Based on Transformed Motion Vectors
  15. Altmetric Badge
    Chapter 14 Semantic Event Detection in Sports Through Motion Understanding
  16. Altmetric Badge
    Chapter 15 Structuring Soccer Video Based on Audio Classification and Segmentation Using Hidden Markov Model
  17. Altmetric Badge
    Chapter 16 EDU: A Model of Video Summarization
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    Chapter 17 A News Video Mining Method Based on Statistical Analysis and Visualization
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    Chapter 18 Topic Threading for Structuring a Large-Scale News Video Archive
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    Chapter 19 What’s News, What’s Not? Associating News Videos with Words
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    Chapter 20 Visual Clustering of Trademarks Using a Component-Based Matching Framework
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    Chapter 21 Assessing Scene Structuring in Consumer Videos
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    Chapter 22 A Visual Model Approach for Parsing Colonoscopy Videos
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    Chapter 23 Video Summarization and Retrieval System Using Face Recognition and MPEG-7 Descriptors
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    Chapter 24 Automatic Generation of Personalized Digest Based on Context Flow and Distinctive Events
  26. Altmetric Badge
    Chapter 25 Content-Based Image Retrieval and Characterization on Specific Web Collections
  27. Altmetric Badge
    Chapter 26 Exploiting Problem Domain Knowledge for Accurate Building Image Classification
  28. Altmetric Badge
    Chapter 27 Natural Scene Retrieval Based on a Semantic Modeling Step
  29. Altmetric Badge
    Chapter 28 Unsupervised Text Segmentation Using Color and Wavelet Features
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    Chapter 29 Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System
  31. Altmetric Badge
    Chapter 30 Task-Based User Evaluation of Content-Based Image Database Browsing Systems
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    Chapter 31 The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004
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    Chapter 32 An Empirical Investigation of the Scalability of a Multiple Viewpoint CBIR System
  34. Altmetric Badge
    Chapter 33 Real-Time Video Indexing System for Live Digital Broadcast TV Programs
  35. Altmetric Badge
    Chapter 34 Finding Person X: Correlating Names with Visual Appearances
  36. Altmetric Badge
    Chapter 35 A Framework for Semantic Classification of Scenes Using Finite State Machines
  37. Altmetric Badge
    Chapter 36 Automated Person Identification in Video
  38. Altmetric Badge
    Chapter 37 Content Based Image Synthesis
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    Chapter 38 Interactive Content-Based Retrieval Using Pre-computed Object-Object Similarities
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    Chapter 39 Salient Regions for Query by Image Content
  41. Altmetric Badge
    Chapter 40 Evaluation of Texture Features for Content-Based Image Retrieval
  42. Altmetric Badge
    Chapter 41 An Effective Approach Towards Content-Based Image Retrieval
  43. Altmetric Badge
    Chapter 42 Multimedia Retrieval Using Multiple Examples
  44. Altmetric Badge
    Chapter 43 A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval
  45. Altmetric Badge
    Chapter 44 Salient Objects: Semantic Building Blocks for Image Concept Interpretation
  46. Altmetric Badge
    Chapter 45 Multimodal Salient Objects: General Building Blocks of Semantic Video Concepts
  47. Altmetric Badge
    Chapter 46 Video Content Representation as Salient Regions of Activity
  48. Altmetric Badge
    Chapter 47 Image Classification into Object / Non-object Classes
  49. Altmetric Badge
    Chapter 48 Video Segmentation Using Hidden Markov Model with Multimodal Features
  50. Altmetric Badge
    Chapter 49 Feature Based Cut Detection with Automatic Threshold Selection
  51. Altmetric Badge
    Chapter 50 A Geometrical Key-Frame Selection Method Exploiting Dominant Motion Estimation in Video
  52. Altmetric Badge
    Chapter 51 Extraction of Salient Features for Image Retrieval Using Multi-scale Image Relevance Function
  53. Altmetric Badge
    Chapter 52 Relevance Feedback for Keyword and Visual Feature-Based Image Retrieval
  54. Altmetric Badge
    Chapter 53 Relevance Feedback Reinforced with Semantics Accumulation
  55. Altmetric Badge
    Chapter 54 Faster Exact Histogram Intersection on Large Data Collections Using Inverted VA-Files
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    Chapter 55 A Graph Edit Distance Based on Node Merging
  57. Altmetric Badge
    Chapter 56 STRICT: An Image Retrieval Platform for Queries Based on Regional Content
  58. Altmetric Badge
    Chapter 57 Improved Video Content Indexing by Multiple Latent Semantic Analysis
  59. Altmetric Badge
    Chapter 58 Three Interfaces for Content-Based Access to Image Collections
  60. Altmetric Badge
    Chapter 59 Retrieving ClipArt Images by Content
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    Chapter 60 Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
  62. Altmetric Badge
    Chapter 61 An Indexing Model of Remote Sensing Images
  63. Altmetric Badge
    Chapter 62 Ambient Intelligence Through Image Retrieval
  64. Altmetric Badge
    Chapter 63 A Knowledge Management System for Intelligent Retrieval of Geo-Spatial Imagery
  65. Altmetric Badge
    Chapter 64 An Adaptive Image Content Representation and Segmentation Approach to Automatic Image Annotation
  66. Altmetric Badge
    Chapter 65 Knowledge Assisted Analysis and Categorization for Semantic Video Retrieval
  67. Altmetric Badge
    Chapter 66 Using Structure for Video Object Retrieval
  68. Altmetric Badge
    Chapter 67 Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval
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    Chapter 68 Interoperability Support for Ontology-Based Video Retrieval Applications
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    Chapter 69 A Test-Bed for Region-Based Image Retrieval Using Multiple Segmentation Algorithms and the MPEG-7 eXperimentation Model: The Schema Reference System
  71. Altmetric Badge
    Chapter 70 ICBR – Multimedia Management System for Intelligent Content Based Retrieval
  72. Altmetric Badge
    Chapter 71 Contribution of NLP to the Content Indexing of Multimedia Documents
  73. Altmetric Badge
    Chapter 72 The CIMWOS Multimedia Indexing System
  74. Altmetric Badge
    Chapter 73 Image Retrieval Interfaces: A User Perspective
  75. Altmetric Badge
    Chapter 74 SCULPTEUR: Multimedia Retrieval for Museums
  76. Altmetric Badge
    Chapter 75 Disclosure of Non-scripted Video Content: InDiCo and M4/AMI
  77. Altmetric Badge
    Chapter 76 A User-Centred System for End-to-End Secure Multimedia Content Delivery: From Content Annotation to Consumer Consumption
  78. Altmetric Badge
    Chapter 77 Adding Semantics to Audiovisual Content: The FAETHON Project
  79. Altmetric Badge
    Chapter 78 Towards a Large Scale Concept Ontology for Broadcast Video
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

2 tweeters
1 Facebook page


8 Dimensions

Readers on

5 Mendeley
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Image and Video Retrieval
Published by
Lecture notes in computer science, January 2004
DOI 10.1007/b98923
978-3-54-022539-3, 978-3-54-027814-6

Peter Enser, Yiannis Kompatsiaris, Noel E. O’Connor, Alan F. Smeaton, Arnold W. M. Smeulders


Enser, Peter, Kompatsiaris, Yiannis, O’Connor, Noel E., Smeaton, Alan F., Smeulders, Arnold W. M.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 20%
Spain 1 20%
Unknown 3 60%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Linguistics 1 20%
Engineering 1 20%
Unknown 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2018.
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Altmetric has tracked 12,761,472 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,320 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 256,715 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.