V3CTK: An End-to-End V3C Content Preparation Toolkit for Tiled Dynamic Point Cloud Streaming

Dynamic point clouds enable immersive six-degrees-of-freedom experiences but require complex content preparation pipelines to support efficient adaptive delivery at scale. In practice, workflows for dynamic point cloud streaming remain fragmented: spatial tiling, encoding, segmentation, and adaptive streaming signaling are often handled by disconnected tools, ad hoc scripts, or platform-dependent binaries that are difficult to obtain, compile, and reproduce, particularly in Linux-based research environments. This paper presents V3CTK, an end-to-end content preparation toolkit for tiled dynamic point cloud streaming that automates these steps with minimal manual intervention. V3CTK unifies segment-adaptive spatial tiling, per-tile sequence-level V-PCC encoding, GoF-aligned V3C segmentation, and MPEG-DASH MPD generation within a single modular pipeline, while still allowing individual stages to be executed independently when needed. The generated bitstream segments and manifests follow MPEG-I V3C/V-PCC (ISO/IEC 23090-5) and MPEG-DASH (ISO/IEC 23009-1) signaling conventions, while incorporating explicit extensions to support tiled and component-level streaming. In addition to unified V3C bitstreams, the pipeline supports component-wise bitstream generation with multiple representations per component, and provides a lightweight multiplexing step to reconstruct a fully decodable unified V3C bitstream from per-component streams prior to playback. V3CTK exposes finegrained parameter control through command-line and web-based interfaces, offering a unified workflow for the research community and simplifying setup through Dockerized encoding.