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Alessandro Ortis
Università degli Studi di Catania
Dipartimento di Matematica e Informatica
Image Processing Lab - iplab.dmi.unict.it
Representations in Computer Vision
(intro)
CV input and output
CV
Images
Videos
…
Detection
Recognition
Categorization
Navigation
Manipulation
Tracking
…
Generally the output are actions and/or decisions.
A. Ortis - Representations for CV
Representation concept regards
several disciplines
Statistics
Information
Theory
Biology
Computer
Architecture
Cognitive
Science
Philosophy
A. Ortis - Representations for CV
• Are they necessary?
• Can we do without?
• What representation should we compute and mantain
in memory for a computer vision algorithm?
• How do we measure how ‘’useful’’ it is?
• Does it depend on the task?
• What if the representation is the task itself?
• Is there an optimal representation?
• If so, can it be computed? If not, can it be
approximated?
• What do animals store in memory? How?
• …
About representation
A. Ortis - Representations for CV
Related papers
Statistics:
- Sufficient Statistics, G. Lebanon
Information Theory:
- Data Processing Inequality, S. D. Servetto
- Information Theory, Cover and Thomas
- The Information Bottleneck Method, N. Tishby et al.
Biology:
- The Biology of Memory, E. R. Kandel
Computer Architecture:
- The Impact of Memory and Architecture on Computer
Performance, N. H. F. Beebe
Cognitive Science
- What is a Knowledge Representation, R. Davis et al.
Philosophy:
- Mental Representation, SEP
A. Ortis - Representations for CV

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Representations in Computer Vision

  • 1. Alessandro Ortis Università degli Studi di Catania Dipartimento di Matematica e Informatica Image Processing Lab - iplab.dmi.unict.it Representations in Computer Vision (intro)
  • 2. CV input and output CV Images Videos … Detection Recognition Categorization Navigation Manipulation Tracking … Generally the output are actions and/or decisions. A. Ortis - Representations for CV
  • 3. Representation concept regards several disciplines Statistics Information Theory Biology Computer Architecture Cognitive Science Philosophy A. Ortis - Representations for CV
  • 4. • Are they necessary? • Can we do without? • What representation should we compute and mantain in memory for a computer vision algorithm? • How do we measure how ‘’useful’’ it is? • Does it depend on the task? • What if the representation is the task itself? • Is there an optimal representation? • If so, can it be computed? If not, can it be approximated? • What do animals store in memory? How? • … About representation A. Ortis - Representations for CV
  • 5. Related papers Statistics: - Sufficient Statistics, G. Lebanon Information Theory: - Data Processing Inequality, S. D. Servetto - Information Theory, Cover and Thomas - The Information Bottleneck Method, N. Tishby et al. Biology: - The Biology of Memory, E. R. Kandel Computer Architecture: - The Impact of Memory and Architecture on Computer Performance, N. H. F. Beebe Cognitive Science - What is a Knowledge Representation, R. Davis et al. Philosophy: - Mental Representation, SEP A. Ortis - Representations for CV