Nothing Special   »   [go: up one dir, main page]

skip to main content
article

The number of all possible meaningful or discernible pictures

Published: 01 November 2009 Publication History

Abstract

The paper provides lower bounds on the number of all possible images that appear meaningful to a human observer as well as the number of all possible images that appear pair-wise distinct to a human observer. These numbers suggest that it is impractical to construct training or testing sets of images that are dense in the set of all images unless the class of images is restricted.

References

[1]
The state of the art of document degradation modeling. In: Chaudhuri, B.B. (Ed.), Advances in Pattern Recognition Series, Springer. pp. 261-279.
[2]
Visual long-term memory has a massive storage capacity for object details. PNAS. v105 i38. 14325-14329.
[3]
Context and hierarchy in a probabilistic image model. CVPR. 2145-2152.
[4]
Distinctive image features from scale-invariant keypoints. Internat. J. Comp. Vis. 91-110.
[5]
So many pixels, so little time. Nat. Neurosci. v11 iNovember. 1243-1244.
[6]
Nonnemaker, J., Baird, H.S., 2009, Using synthetic data safely in classification. In: Proc. IS&T/SPIE Conf. on DocumentRecognition and Retrieval (DRR 2009), San Jose, CA, January 28-February 1. Paper 72470G.
[7]
Pavlidis, T., 2008 Limitations of content-based image retrieval. In: Invited Plenary Talk at the 19th Internat. Conf. on Pattern Recognition, Tampa, Florida, December 8-11. Slides can be found in <http://www.theopavlidis.com/technology/CBIR/PaperB/icpr08.htm>.
[8]
A 'complexity level' analysis of vision. ICCV. 346-355.

Cited By

View all
  1. The number of all possible meaningful or discernible pictures

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image Pattern Recognition Letters
    Pattern Recognition Letters  Volume 30, Issue 15
    November, 2009
    95 pages

    Publisher

    Elsevier Science Inc.

    United States

    Publication History

    Published: 01 November 2009

    Author Tags

    1. Image retrieval
    2. Statistical pattern recognition

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 22 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    View options

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media