TY - GEN
T1 - Visual analogies
T2 - 14th European Conference on Computer Vision, ECCV 2016
AU - Tsatsoulis, P. Daphne
AU - Plummer, Bryan A.
AU - Forsyth, David
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
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 Berlin Heidelberg
Y2 - 11 October 2016 through 14 October 2016
ER -