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Defesa de Dissertação de Mestrado de Marcos Henrique Backes

Detalhes do Evento

Aluno: Marcos Henrique Backes
Orientador: Prof. Dr Manuel Menezes de Oliveira Neto

Título: A PatchMatch-based Approach for Matte Propagation in Videos
Linha de Pesquisa: Processamento de Imagens e Visão Computacional e Reconhecimento de Padrões

Data: 03/12/2019
Hora: 14:30
Local: Prédio 43412 – Sala 215 (sala de videoconferência) – Instituto de Informática UFRGS

Banca Examinadora:
Prof. Dr. Leandro Augusto Frata Fernandes (UFF- por videoconferência)
Prof. Dr. Eduardo Simões Lopes Gastal (UFRGS)
Prof. Dr. Sylvain Paris (Adobe Research – por videoconferência)

Presidente da Banca: Prof. Dr Manuel Menezes de Oliveira Neto

Abstract: Despite considerable advances in natural image matting over the last decades, video matting still remains a difficult problem. The main challenges faced by existing methods are the large amount of user input required, and temporal inconsistencies in mattes between pairs of adjacent frames. We present a temporally-coherent matte-propagation method for videos based on PatchMatch and edge-aware  filtering. Given an input video and trimaps for a few frames, including the first and last, our approach generates alpha mattes for all frames of the video sequence. We also present a user scribble-based interface for video matting that takes advantage of the efficiency of our method to interactively refine the matte results. We demonstrate the effectiveness of our approach by using it to generate temporally-coherent mattes for several natural video sequences. We perform quantitative comparisons against the state-of-the-art sparse-input video matting techniques and show that our method produces significantly better results according to three different metrics. We also perform qualitative comparisons against the state-of-the-art dense-input video matting techniques and show that our approach produces similar quality results while requiring only about 7% of the amount of user input required by such techniques. These results show that our method is both effective and user-friendly, outperforming state-ofthe-art solutions.
Keywords: Image/Video Editing. Alpha Matting. Video Matting. Video Compositing.