| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPEW34M/45CG3KP | |||
| Repository | sid.inpe.br/sibgrapi/2021/09.04.00.08 | |||
| Last Update | 2021:09.04.00.08.54 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2021/09.04.00.08.54 | |||
| Metadata Last Update | 2022:06.14.00.00.23 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI54419.2021.00030 | |||
| Citation Key | OliveiraMJGSSEHTF:2021:LeEnVi | |||
| Title | Learning-based End-to-End Video Compression Using Predictive Coding  | |||
| Format | On-line | |||
| Year | 2021 | |||
| Access Date | 2024, May 06 | |||
| Number of Files | 1 | |||
| Size | 570 KiB | |||
| 2. Context | ||||
| Author | 1 Oliveira, Matheus Costa de 2 Martins, Luiz Gustavo Rodrigues 3 Jung, Henrique Costa 4 Guerin Junior, Nilson Donizete 5 Silva, Renam Castro da 6 Silva, Eduardo Peixoto Fernandes da 7 Espinoza, Bruno Luiggi Macchiavello 8 Hung, Edson Mintsu 9 Testoni, Vanessa 10 Freitas, Pedro Garcia | |||
| Affiliation | 1 University of Brasília 2 University of Brasília 3 University of Brasília 4 University of Brasília 5 Samsung R&D Brazil 6 University of Brasília 7 University of Brasília 8 University of Brasília 9 Samsung R&D Brazil 10 Samsung R&D Brazil | |||
| Editor | Paiva, Afonso Menotti, David Baranoski, Gladimir V. G. Proença, Hugo Pedro Junior, Antonio Lopes Apolinario Papa, João Paulo Pagliosa, Paulo dos Santos, Thiago Oliveira e Sá, Asla Medeiros da Silveira, Thiago Lopes Trugillo Brazil, Emilio Vital Ponti, Moacir A. Fernandes, Leandro A. F. Avila, Sandra | |||
| e-Mail Address | costa.oliveira@aluno.unb.br | |||
| Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) | |||
| Conference Location | Gramado, RS, Brazil (virtual) | |||
| Date | 18-22 Oct. 2021 | |||
| Publisher | IEEE Computer Society | |||
| Publisher City | Los Alamitos | |||
| Book Title | Proceedings | |||
| Tertiary Type | Full Paper | |||
| History (UTC) | 2021-09-04 00:08:54 :: costa.oliveira@aluno.unb.br -> administrator :: 2022-03-02 00:54:15 :: administrator -> menottid@gmail.com :: 2021 2022-03-02 13:34:04 :: menottid@gmail.com -> administrator :: 2021 2022-06-14 00:00:23 :: administrator -> :: 2021 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | finaldraft | |||
| Keywords | neural coding video coding intra prediction inter prediction autoencoder | |||
| Abstract | Driven by the growing demand for video applications, deep learning techniques have become alternatives for implementing end-to-end encoders to achieve applicable compression rates. Conventional video codecs exploit both spatial and temporal correlation. However, due to some restrictions (e.g. computational complexity), they are commonly limited to linear transformations and translational motion estimation. Autoencoder models open up the way for exploiting predictive end-to-end video codecs without such limitations. This paper presents an entire learning-based video codec that exploits spatial and temporal correlations. The presented codec extends the idea of P-frame prediction presented in our previous work. The architecture adopted for I-frame coding is defined by a variational autoencoder with non-parametric entropy modeling. Besides an entropy model parameterized by a hyperprior, the inter-frame encoder architecture has two other independent networks, responsible for motion estimation and residue prediction. Experimental results indicate that some improvements still have to be incorporated into our codec to overcome the all-intra coding set up regarding the traditional algorithms HEVC and VVC. | |||
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > Learning-based End-to-End Video... | |||
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Learning-based End-to-End Video... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/45CG3KP | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45CG3KP | |||
| Language | en | |||
| Target File | Camera Ready Version - PDF eXpress.pdf | |||
| User Group | costa.oliveira@aluno.unb.br | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS 8JMKD3MGPEW34M/4742MCS | |||
| Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 6 | |||
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume | |||