| Acronym: CoMBINNe |
| Main Objective: The main goals of this research plan are: (i) to investigate and propose new prediction modes to increase the multimodal compression efficiency of standard encoders, based on image to image (I2I) translation-based methods and cross-modality prediction; (ii) to investigate the coding efficiency of end-to-end learningbased multi-modal image codecs using state-of-the-art learning-based encoders to devise novel techniques capable of surpass standard encoders. Overall, the project seeks to explore multi-dimensional and multimodal characteristics to achieve better compression rates than current standards. |
| Reference: 2022.09914.PTDC |
| Funding: FCT |
| Approval Date: 09-12-2022 |
| Start Date: 12-03-2023 |
| End Date: 11-03-2025 |
| Team: Lucas Arrabal Thomaz, Pedro Antonio Amado Assunção, Luís Miguel de Oliveira Pegado de Noronha e Távora, Sérgio Manuel Maciel de Faria, Daniel Filipe da Silva Nicolau, Nicolas David Freire Vasconcellos, Eduardo António Barros da Silva, João Oliveira Parracho |
| Groups: Multimedia Signal Processing – Lr |
| Partners: Universidade Federal do Rio de Janeiro |
| Local Coordinator: Lucas Arrabal Thomaz |
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Associated Publications
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