Abstract
Analogies are common simple word problems (calf is to cow as x is to sheep?) and we use them to identify analogies between images. Let I[A, θ] be an image of object A at view θ. We show how to learn to choose an image I such that I[A, φ] is to I[A, θ] as I is to I[B, θ]. We introduce a framework to identify an image of a familiar object at an unfamiliar angle and extend our method to treat unfamiliar objects. By doing so, we identify pairs of objects that are good at finding new views of one another. This yields an operational notion of aspectual equivalence: objects are equivalent if they can predict each other’s appearance well.
| Original language | English (US) |
|---|---|
| Title of host publication | Computer Vision – ECCV 2016 Workshops, Proceedings |
| Editors | Gang Hua, Herve Jegou |
| Publisher | Springer-Verlag |
| Pages | 540-547 |
| Number of pages | 8 |
| ISBN (Print) | 9783319494081 |
| DOIs | |
| State | Published - Jan 1 2016 |
| Event | 14th European Conference on Computer Vision, ECCV 2016 - Amsterdam, Netherlands Duration: Oct 11 2016 → Oct 14 2016 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9915 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 14th European Conference on Computer Vision, ECCV 2016 |
|---|---|
| Country | Netherlands |
| City | Amsterdam |
| Period | 10/11/16 → 10/14/16 |
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ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Visual analogies : A framework for defining aspect categorization. / Tsatsoulis, P. Daphne; Plummer, Bryan A.; Forsyth, David Alexander.
Computer Vision – ECCV 2016 Workshops, Proceedings. ed. / Gang Hua; Herve Jegou. Springer-Verlag, 2016. p. 540-547 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9915 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Visual analogies
T2 - A framework for defining aspect categorization
AU - Tsatsoulis, P. Daphne
AU - Plummer, Bryan A.
AU - Forsyth, David Alexander
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Analogies are common simple word problems (calf is to cow as x is to sheep?) and we use them to identify analogies between images. Let I[A, θ] be an image of object A at view θ. We show how to learn to choose an image I such that I[A, φ] is to I[A, θ] as I is to I[B, θ]. We introduce a framework to identify an image of a familiar object at an unfamiliar angle and extend our method to treat unfamiliar objects. By doing so, we identify pairs of objects that are good at finding new views of one another. This yields an operational notion of aspectual equivalence: objects are equivalent if they can predict each other’s appearance well.
AB - Analogies are common simple word problems (calf is to cow as x is to sheep?) and we use them to identify analogies between images. Let I[A, θ] be an image of object A at view θ. We show how to learn to choose an image I such that I[A, φ] is to I[A, θ] as I is to I[B, θ]. We introduce a framework to identify an image of a familiar object at an unfamiliar angle and extend our method to treat unfamiliar objects. By doing so, we identify pairs of objects that are good at finding new views of one another. This yields an operational notion of aspectual equivalence: objects are equivalent if they can predict each other’s appearance well.
UR - http://www.scopus.com/inward/record.url?scp=85006067156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006067156&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-49409-8_47
DO - 10.1007/978-3-319-49409-8_47
M3 - Conference contribution
AN - SCOPUS:85006067156
SN - 9783319494081
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 540
EP - 547
BT - Computer Vision – ECCV 2016 Workshops, Proceedings
A2 - Hua, Gang
A2 - Jegou, Herve
PB - Springer-Verlag
ER -