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Predicting relevance of parts of an image

Predicting relevance of parts of an image
Predicting relevance of parts of an image
This report studies the task of inferring which parts of an image are relevant for the user viewing the image. The relevance is inferred from gaze trajectory of users viewing the images given a specific task. Novel computational models based on both Bayesian generative modeling and kernel methods are developed for inferring the regions of interest from raw fixation data, as well as from combination of eye movements and image content features.
s.n.
Klami, Arto
7d24333d-4417-42ba-a188-c22dea625f1d
Kaski, Samuel
87dad6b5-fda3-494f-84f9-1de967bf1458
Pasupa, Kitsuchart
952ededb-8c97-41b7-a65b-6aba31de2669
Szedmak, Sandor
c6a84aa3-2956-4acf-8293-a1b676f6d7d8
Gunn, Steve
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Hardoon, David
e9eb22b2-daf6-460c-94b1-8208c917f862
Csurka, Gabriela
5f7749c9-4cbf-4611-806d-51b6f9a01793
Klami, Arto
7d24333d-4417-42ba-a188-c22dea625f1d
Kaski, Samuel
87dad6b5-fda3-494f-84f9-1de967bf1458
Pasupa, Kitsuchart
952ededb-8c97-41b7-a65b-6aba31de2669
Szedmak, Sandor
c6a84aa3-2956-4acf-8293-a1b676f6d7d8
Gunn, Steve
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Hardoon, David
e9eb22b2-daf6-460c-94b1-8208c917f862
Csurka, Gabriela
5f7749c9-4cbf-4611-806d-51b6f9a01793

Klami, Arto, Kaski, Samuel, Pasupa, Kitsuchart, Szedmak, Sandor, Gunn, Steve, Hardoon, David and Csurka, Gabriela (2009) Predicting relevance of parts of an image s.n.

Record type: Monograph (Project Report)

Abstract

This report studies the task of inferring which parts of an image are relevant for the user viewing the image. The relevance is inferred from gaze trajectory of users viewing the images given a specific task. Novel computational models based on both Bayesian generative modeling and kernel methods are developed for inferring the regions of interest from raw fixation data, as well as from combination of eye movements and image content features.

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More information

Published date: 31 December 2009
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 268375
URI: https://eprints.soton.ac.uk/id/eprint/268375
PURE UUID: 8eecd4df-3223-4fba-89f2-71a28e19c217

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Date deposited: 13 Jan 2010 09:15
Last modified: 18 Jul 2017 06:54

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