1 / 8

Accelerating Massive Model Rendering with Impostors and MPEG Encoding for Enhanced Video Navigation

This presentation by Andy Wilson explores innovative techniques for massive model rendering (MMR) by utilizing simple impostors to represent distant geometry, greatly enhancing rendering efficiency. By employing MPEG encoding, coherence between impostors in adjacent cells can be optimized for better image quality. The presentation covers state-of-the-art video representation methods, including various MPEG formats and image-based impostors. Key goals include generating video streams that allow automatic pathfinding and bidirectional motion navigation. Challenges such as codec adaptation and inter-frame dependencies are discussed, along with future work focusing on improving pathfinding efficiency and image coherence.

holmes-vang
Télécharger la présentation

Accelerating Massive Model Rendering with Impostors and MPEG Encoding for Enhanced Video Navigation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Far Field Video Andy Wilson COMP290-72 Final Presentation

  2. Motivation • Accelerate massive model rendering by representing distant geometry with simple impostor • Use MPEG encoding to take advantage of coherence between impostors for adjacent cells

  3. State of the Art • Massive model rendering: the Walkthrough MMR system • Video representation: numerous techniques (MPEG1-3, Intel Indeo, H.263, etc.) • Far-field representations: image-based impostors (TDM, LDI, QTVR, etc.)

  4. Goals • Automatically find paths through a model • Generate video stream from those paths • Allow bidirectional motion through image stream • Integrate video into viewer

  5. Major Setbacks • Freely available video codecs (with source) are difficult to adapt • Bidirectional stream navigation requires a lot of work • Inter-frame dependencies make random access difficult • Many cryptic parameters in encoder have large effect on quality of output

  6. Sample Loss of Quality MPEG Normal (PNG)

  7. Future Work • Better paths through model • more coherence means better images, smaller streams • Problem known to be NP-complete! • Bidirectional navigation • Probably requires complete rewrite of MPEG decoder • Other representations • panorama, cell-wall movie, ?

  8. Demo: MMR with video images

More Related