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10.1145/1186822.1073224acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
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Out-of-core tensor approximation of multi-dimensional matrices of visual data

Published: 01 July 2005 Publication History

Abstract

Tensor approximation is necessary to obtain compact multilinear models for multi-dimensional visual datasets. Traditionally, each multi-dimensional data item is represented as a vector. Such a scheme flattens the data and partially destroys the internal structures established throughout the multiple dimensions. In this paper, we retain the original dimensionality of the data items to more effectively exploit existing spatial redundancy and allow more efficient computation. Since the size of visual datasets can easily exceed the memory capacity of a single machine, we also present an out-of-core algorithm for higher-order tensor approximation. The basic idea is to partition a tensor into smaller blocks and perform tensor-related operations blockwise. We have successfully applied our techniques to three graphics-related data-driven models, including 6D bidirectional texture functions, 7D dynamic BTFs and 4D volume simulation sequences. Experimental results indicate that our techniques can not only process out-of-core data, but also achieve higher compression ratios and quality than previous methods.

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      cover image ACM Conferences
      SIGGRAPH '05: ACM SIGGRAPH 2005 Papers
      July 2005
      826 pages
      ISBN:9781450378253
      DOI:10.1145/1186822
      • Editor:
      • Markus Gross
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 01 July 2005

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      Author Tags

      1. bidirectional texture functions
      2. block-based partitioning
      3. multilinear models
      4. spatial coherence
      5. volume simulations

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      SIGGRAPH '05 Paper Acceptance Rate 98 of 461 submissions, 21%;
      Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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      • (2022)Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor DecompositionACM Transactions on Graphics10.1145/350791541:2(1-17)Online publication date: 22-Jan-2022
      • (2014)Efficient Static and Dynamic In-Database Tensor Decompositions on Chunk-Based Array StoresProceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2661864(969-978)Online publication date: 3-Nov-2014
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      • (2007)Interactive relighting with dynamic BRDFsACM SIGGRAPH 2007 papers10.1145/1275808.1276411(27-es)Online publication date: 5-Aug-2007
      • (2007)Multilinear analysis for task recognition and person identification2007 IEEE/RSJ International Conference on Intelligent Robots and Systems10.1109/IROS.2007.4399293(1409-1415)Online publication date: Oct-2007
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