Epitomic Image Factorization Via Neighbor-Embedding
| dc.contributor.author | Türkan, Mehmet | |
| dc.contributor.author | Alain M. | |
| dc.contributor.author | Thoreau D. | |
| dc.contributor.author | Guillotel P. | |
| dc.contributor.author | Guillemot C. | |
| dc.date.accessioned | 2023-06-16T15:00:46Z | |
| dc.date.available | 2023-06-16T15:00:46Z | |
| dc.date.issued | 2015 | |
| dc.description | The Institute of Electrical and Electronics Engineers on Signal Processing Society | en_US |
| dc.description | IEEE International Conference on Image Processing, ICIP 2015 -- 27 September 2015 through 30 September 2015 -- 117806 | en_US |
| dc.description.abstract | We describe a novel epitomic image representation scheme that factors a given image content into a condensed epitome and a low-resolution image to reduce the memory space for images. Given an input image, we construct a condensed epitome such that all image patches can successfully be reconstructed from the factored representation by means of an optimized neighbor-embedding strategy. Under this new scope of epitomic image representations aligned with the manifold sampling assumption, we end up a more generic epitome learning scheme with increased optimality, compactness, and reconstruction stability. We present the performance of the proposed method for image and video up-scaling (super-resolution) while extensions to other image and video processing are straightforward. © 2015 IEEE. | en_US |
| dc.identifier.doi | 10.1109/ICIP.2015.7351585 | |
| dc.identifier.isbn | 9.78E+12 | |
| dc.identifier.issn | 1522-4880 | |
| dc.identifier.scopus | 2-s2.0-84956657854 | |
| dc.identifier.uri | https://doi.org/10.1109/ICIP.2015.7351585 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/3550 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE Computer Society | en_US |
| dc.relation.ispartof | Proceedings - International Conference on Image Processing, ICIP | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | compression | en_US |
| dc.subject | Epitome learning | en_US |
| dc.subject | image factorization | en_US |
| dc.subject | image up-scaling | en_US |
| dc.subject | neighbor-embedding | en_US |
| dc.subject | super-resolution | en_US |
| dc.title | Epitomic Image Factorization Via Neighbor-Embedding | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
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| gdc.description.departmenttemp | Turkan, M., Technicolor RandD, Cesson Sévigné, France, Izmir University of Economics, Izmir, Turkey; Alain, M., Technicolor RandD, Cesson Sévigné, France, INRIA, Rennes, France; Thoreau, D., Technicolor RandD, Cesson Sévigné, France; Guillotel, P., Technicolor RandD, Cesson Sévigné, France; Guillemot, C., INRIA, Rennes, France | en_US |
| gdc.description.endpage | 4145 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q3 | |
| gdc.description.startpage | 4141 | en_US |
| gdc.description.volume | 2015-December | en_US |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W2192429181 | |
| gdc.identifier.wos | WOS:000371977804055 | |
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| gdc.oaire.keywords | [INFO] Computer Science [cs] | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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| gdc.virtual.author | Türkan, Mehmet | |
| gdc.virtual.author | Türkan, Mehmet | |
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