Light field (LF) videos provide a rich light ray representation by recording spatial, angular, and temporal dimensions across multiple viewpoints, resulting in massive data sizes. To reduce transmission costs, most existing compression strategies encode only a limited set of sparse views. However, these approaches often overlook the importance of the central view when handling large-disparity LF content, leading to insufficient depth representation and degraded reconstruction. To address this, we introduce a dedicated low-bitrate compression framework for large-disparity LF videos, which integrates the central view into the encoding process. By jointly encoding the central and four corner views, the proposed method efficiently utilizes the structural benefits of the central perspective while maintaining low bitrate overhead. Experiments demonstrate that our framework preserves performance under low bitrates and yields substantial rate–distortion improvements at higher bitrates.

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Enhanced Low-Bitrate Light Field Video Compression Based on Key Sparse View Sequence Coding

  • Yao Zhang,
  • Huan Li,
  • Xinpeng Huang,
  • Ping An

摘要

Light field (LF) videos provide a rich light ray representation by recording spatial, angular, and temporal dimensions across multiple viewpoints, resulting in massive data sizes. To reduce transmission costs, most existing compression strategies encode only a limited set of sparse views. However, these approaches often overlook the importance of the central view when handling large-disparity LF content, leading to insufficient depth representation and degraded reconstruction. To address this, we introduce a dedicated low-bitrate compression framework for large-disparity LF videos, which integrates the central view into the encoding process. By jointly encoding the central and four corner views, the proposed method efficiently utilizes the structural benefits of the central perspective while maintaining low bitrate overhead. Experiments demonstrate that our framework preserves performance under low bitrates and yields substantial rate–distortion improvements at higher bitrates.