Proceedings: GI 2003

Texture Partitioning and Packing for Accelerating Texture-Based Volume Rendering

Wei Li, Arie Kaufman

Proceedings of Graphics Interface 2003: Halifax, Nova Scotia, Canada, 11 - 13 June 2003, 81-88

DOI 10.20380/GI2003.10

  • BibTeX

     title = {Texture Partitioning and Packing for Accelerating Texture-Based Volume Rendering},
     author = {Wei Li and Arie Kaufman},
     booktitle = {Proceedings of the Graphics Interface 2003 Conference, June 11-13, 2003, Halifax, Nova Scotia, Canada},
     organization = {CIPS, Canadian Human-Computer Communication Society},
     publisher = {Canadian Human-Computer Communications Society and A K Peters Ltd.},
     issn = {0713-5424},
     isbn = {1-56881-207-8},
     location = {Halifax, Nova Scotia},
     url = {},
     year = {2003},
     month = {June},
     pages = {81--88}


We present a critique of language-based modelling for text input research, and propose an alternative input-based approach. Current language-based statistical models are derived from large samples of text (corpora). However, this text reflects only the output, or final result, of the text input task. We argue that this weakens the utility of the model, because, (1) users' language is typically quite different from that in any corpus; punctuation symbols, acronyms, slang, etc. are frequently used. (2) A corpus does not reflect the editing process used in its creation. (3) No existing corpus captures the input modalities of text input devices. Actions associated with keys such as Shift, Alt, and Ctrl are missing. We present a study to validate our arguments. Keystroke data from four subjects were collected over a one-month period. Results are presented that support the need for input-based language modelling for text input.