A distributed source autoencoder of local visual descriptors for 3D reconstruction
•Application of a deep learning to the compression of local visual descriptors.•Combination of distributed source coding and autoencoders.•Definition of a low-complexity encoder suitable for mobile low-cost boards.•Competitive compression and reconstruction performances w.r.t existing solutions.•Opt...
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| Vydáno v: | Pattern recognition letters Ročník 146; s. 193 - 199 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
01.06.2021
Elsevier Science Ltd |
| Témata: | |
| ISSN: | 0167-8655, 1872-7344 |
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| Abstract | •Application of a deep learning to the compression of local visual descriptors.•Combination of distributed source coding and autoencoders.•Definition of a low-complexity encoder suitable for mobile low-cost boards.•Competitive compression and reconstruction performances w.r.t existing solutions.•Optimization of the coding scheme for 3D scene reconstruction applications.
[Display omitted]
This paper presents a local descriptor coding scheme for multicamera surveillance and 3D reconstruction embedding an autoencoder into a traditional distributed source coding strategy. The proposed solution permits shifting most of the computational complexity at the decoder/receiver and exploiting the correlation among descriptors of different cameras (thus reducing the coded bit rate) without increasing the inter-device communication load. Experimental results show that the proposed scheme permits obtaining a satisfying accuracy with respect to the most recent solutions while generating a limited bit rate. |
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| AbstractList | This paper presents a local descriptor coding scheme for multicamera surveillance and 3D reconstruction embedding an autoencoder into a traditional distributed source coding strategy. The proposed solution permits shifting most of the computational complexity at the decoder/receiver and exploiting the correlation among descriptors of different cameras (thus reducing the coded bit rate) without increasing the inter-device communication load. Experimental results show that the proposed scheme permits obtaining a satisfying accuracy with respect to the most recent solutions while generating a limited bit rate. •Application of a deep learning to the compression of local visual descriptors.•Combination of distributed source coding and autoencoders.•Definition of a low-complexity encoder suitable for mobile low-cost boards.•Competitive compression and reconstruction performances w.r.t existing solutions.•Optimization of the coding scheme for 3D scene reconstruction applications. [Display omitted] This paper presents a local descriptor coding scheme for multicamera surveillance and 3D reconstruction embedding an autoencoder into a traditional distributed source coding strategy. The proposed solution permits shifting most of the computational complexity at the decoder/receiver and exploiting the correlation among descriptors of different cameras (thus reducing the coded bit rate) without increasing the inter-device communication load. Experimental results show that the proposed scheme permits obtaining a satisfying accuracy with respect to the most recent solutions while generating a limited bit rate. |
| Author | Milani, Simone |
| Author_xml | – sequence: 1 givenname: Simone surname: Milani fullname: Milani, Simone email: simone.milani@dei.unipd.it organization: Dept. of Information Engineering, University of Padova, via Gradenigo 6/B, 35131 Padova, Italy |
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| Cites_doi | 10.1109/TIT.2002.808103 10.1109/TPAMI.2014.2301163 10.1007/11744023_32 10.1109/TCSVT.2019.2945057 10.1023/B:VISI.0000029664.99615.94 10.1109/TPAMI.2018.2858760 10.1109/TIP.2015.2445294 10.1109/TMC.2016.2519340 10.1109/MMUL.2013.66 10.1109/JPROC.2004.839619 10.1109/TIP.2018.2794203 10.1109/TPAMI.2018.2789887 10.1016/j.image.2013.03.007 10.1109/ICRA.2018.8463202 10.1109/TPAMI.2018.2833865 10.1109/TIP.2015.2500034 |
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| Keywords | Distributed vision networks Autoencoder Local descriptor coding Structure-from-Motion Distributed source coding |
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| Snippet | •Application of a deep learning to the compression of local visual descriptors.•Combination of distributed source coding and autoencoders.•Definition of a... This paper presents a local descriptor coding scheme for multicamera surveillance and 3D reconstruction embedding an autoencoder into a traditional distributed... |
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| SubjectTerms | Autoencoder Cameras Coding Computer applications Distributed source coding Distributed vision networks Embedding Local descriptor coding Receivers-Decoders Reconstruction Structure-from-Motion |
| Title | A distributed source autoencoder of local visual descriptors for 3D reconstruction |
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