Proposed: Enhancing VR Book Reading through SVG Optimization

Metadata

  • Status: Proposed
  • Deciders: V-Sekai
  • Tags: SVG Optimization, VR Book Reading, V-Sekai

The Backdrop

V-Sekai is dedicated to advancing the immersive experience in social VR. We can enhance VR book reading, a feature that demands high-quality visuals with efficient resource usage.

The Challenge

Integrating readable, high-quality SVG-based books into the VR environment presents a dual challenge of maintaining visual clarity while optimizing performance.

The Strategy

Utilize the svgcleaner tool, particularly its Rust implementation, to optimize SVG files for VR book reading. This involves cleaning up SVG files from unnecessary data, thereby reducing file size without compromising visual integrity.

The Upside

Optimized SVGs lead to faster load times, smoother performance, and an overall enhanced user experience in VR book reading. This aligns with V-Sekai’s goal of creating a seamless and engaging VR environment.

The Downside

The svgcleaner tool, particularly its Rust version, is currently archived and read-only, indicating a need for refresh or redevelopment.

The Road Not Taken

Alternative SVG optimization methods or tools might exist but could lack the specific features or efficiency provided by svgcleaner.

The Infrequent Use Case

While primarily aimed at VR book reading, this optimization could benefit other areas of V-Sekai where SVGs are used.

In Core and Done by Us?

The task involves integrating an external tool (svgcleaner) into the core V-Sekai development process, possibly requiring custom adaptation for the specific VR context.

Further Reading

  1. V-Sekai · GitHub - Official GitHub account for the V-Sekai development community focusing on social VR functionality for the Godot Engine.
  2. V-Sekai/v-sekai-game - GitHub page for the V-Sekai open-source project bringing social VR/VRSNS/metaverse components to the Godot Engine.
  3. svgcleaner on GitHub - The GitHub repository for svgcleaner, a tool to optimize SVG files.

This article was assisted by AI assistant Aria.