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Adaptive Multimedia Retrieval: Retrieval, User, and Semantics

Overview of attention for book
Cover of 'Adaptive Multimedia Retrieval: Retrieval, User, and Semantics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Learning Distance Functions for Automatic Annotation of Images
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    Chapter 2 Ontology: Use and Abuse
  4. Altmetric Badge
    Chapter 3 Imagination: Exploiting Link Analysis for Accurate Image Annotation
  5. Altmetric Badge
    Chapter 4 Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation
  6. Altmetric Badge
    Chapter 5 Improving Automatic Image Annotation Based on Word Co-occurrence
  7. Altmetric Badge
    Chapter 6 Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis
  8. Altmetric Badge
    Chapter 7 A Novel Retrieval Refinement and Interaction Pattern by Exploring Result Correlations for Image Retrieval
  9. Altmetric Badge
    Chapter 8 User Modelling for Interactive User-Adaptive Collection Structuring
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    Chapter 9 Searching for Music Using Natural Language Queries and Relevance Feedback
  11. Altmetric Badge
    Chapter 10 Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining
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    Chapter 11 A System for Automatic Chord Transcription from Audio Using Genre-Specific Hidden Markov Models
  13. Altmetric Badge
    Chapter 12 Information Fusion in Multimedia Information Retrieval
  14. Altmetric Badge
    Chapter 13 Multi-level Fusion for Semantic Video Content Indexing and Retrieval
  15. Altmetric Badge
    Chapter 14 Image Data Source Selection Using Gaussian Mixture Models
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    Chapter 15 Designing a Peer-to-Peer Architecture for Distributed Image Retrieval
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    Chapter 16 Comparison of Dimension Reduction Methods for Database-Adaptive 3D Model Retrieval
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    Chapter 17 Smart Photo Sticking
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    Chapter 18 How to Use SIFT Vectors to Analyze an Image with Database Templates
  20. Altmetric Badge
    Chapter 19 Video Semantic Content Analysis Framework Based on Ontology Combined MPEG-7
  21. Altmetric Badge
    Chapter 20 Trajectory Annotation and Retrieval Based on Semantics
Attention for Chapter 3: Imagination: Exploiting Link Analysis for Accurate Image Annotation
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
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Chapter title
Imagination: Exploiting Link Analysis for Accurate Image Annotation
Chapter number 3
Book title
Adaptive Multimedia Retrieval: Retrieval, User, and Semantics
Published in
Lecture notes in computer science, July 2007
DOI 10.1007/978-3-540-79860-6_3
Book ISBNs
978-3-54-079859-0, 978-3-54-079860-6
Authors

Ilaria Bartolini, Paolo Ciaccia, Bartolini, Ilaria, Ciaccia, Paolo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Master 2 20%
Professor 1 10%
Researcher 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 9 90%
Unknown 1 10%
Attention Score in Context

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 28 February 2020.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Lecture notes in computer science
#2,485
of 8,124 outputs
Outputs of similar age
#24,577
of 68,446 outputs
Outputs of similar age from Lecture notes in computer science
#4
of 15 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 68,446 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 60% of its contemporaries.