Spatial relationships over sparse representations

Nicolas Loménie; Daniel Racoceanu

doi:10.1109/IVCNZ.2009.5378406

Spatial relationships over sparse representations

Nicolas Loménie, Daniel Racoceanu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

New imaging devices provide image data at very high spatial resolution acquisition and throughput rate. In satellite or medical two-dimensional images, high-content and large image issues plead for more high semantic level interactions between the computer vision systems and the end-users in order to leverage the cognitive symbiosis between both systems for practical tasks such as clinical disease grading practices based on visual inspection. Within the mathematical morphology framework, this seminal paper proposes new theoretical tools to perform high-level spatial relation queries for the exploration of large amount of image data through sparse representations like Delaunay triangulations.

Original language	English
Title of host publication	2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings
Pages	226-230
Number of pages	5
DOIs	https://doi.org/10.1109/IVCNZ.2009.5378406
State	Published - 2009
Externally published	Yes
Event	2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Wellington, New Zealand Duration: 23 Nov 2009 → 25 Nov 2009

Publication series

Name	2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings

Conference

Conference	2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009
Country/Territory	New Zealand
City	Wellington
Period	23/11/09 → 25/11/09

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10.1109/IVCNZ.2009.5378406

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Loménie, N., & Racoceanu, D. (2009). Spatial relationships over sparse representations. In 2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings (pp. 226-230). Article 5378406 (2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings). https://doi.org/10.1109/IVCNZ.2009.5378406

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title = "Spatial relationships over sparse representations",

abstract = "New imaging devices provide image data at very high spatial resolution acquisition and throughput rate. In satellite or medical two-dimensional images, high-content and large image issues plead for more high semantic level interactions between the computer vision systems and the end-users in order to leverage the cognitive symbiosis between both systems for practical tasks such as clinical disease grading practices based on visual inspection. Within the mathematical morphology framework, this seminal paper proposes new theoretical tools to perform high-level spatial relation queries for the exploration of large amount of image data through sparse representations like Delaunay triangulations.",

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year = "2009",

doi = "10.1109/IVCNZ.2009.5378406",

language = "English",

isbn = "9781424446988",

series = "2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings",

pages = "226--230",

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note = "2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 ; Conference date: 23-11-2009 Through 25-11-2009",

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Loménie, N & Racoceanu, D 2009, Spatial relationships over sparse representations. in 2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings., 5378406, 2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings, pp. 226-230, 2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009, Wellington, New Zealand, 23/11/09. https://doi.org/10.1109/IVCNZ.2009.5378406

Spatial relationships over sparse representations. / Loménie, Nicolas; Racoceanu, Daniel.
2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings. 2009. p. 226-230 5378406 (2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Spatial relationships over sparse representations

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