由於網路的頻寬有限, 因此如何有效地壓縮3D視訊使其傳輸更為便利, 儼然已成為新一代的重要研究課題之一。在本論文中, 我們將植基於兩項深度影像壓縮技術— 改良式快速深度影像壓縮法與自適性加權式眾數濾波器, 以發展一個適用於非對稱式多視角加深度視訊編碼的高效位元率分配策略。透過導入所提出之兩項深度影像壓縮技術, 3D視訊中彩色影像與深度影像之相關性則可進一步地被利用來提高壓縮效能, 同時所節省下來的位元率也可重新分配至更需要壓縮資源的影像區塊上。根據我們於三個多視角加深度視訊上的實驗結果顯示, 在給定目標位元率的限制下, 相較於Shao 等人所提出之位元率分配策略, 本論文之分配策略則可以在解碼後的3D 視訊上提供更佳的視角彩現結果。

Efficiently compressing 3D video for transmission over the Internet is necessary due to bandwidth limitation. In this paper, we propose an efficient bitrate allocation strategy for asymmetric multiview video plus depth (MVD) based 3D video coding, where the two new techniques for depth map coding, named modified fast depth map coding (MFDC) and adaptive weighted mode filter (AWMF), are presented. Based on the proposed MFDC and AWMF, the correlations between color images and corresponding depth maps can be fully utilized and then the resultant bitrate saving also can be re-allocated to the following unencoded blocks of color images and depth maps for achieving better compression efficiency. Based on three MVD based 3D video sequences, experimental results show that the proposed bitrate allocation strategy can obtain better quality of view rendering from the reconstruced 3D video under the bitrate budget constranint when compared with the state-of-the-art model by Shao et al.

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