Video textures

@article{Schdl2000VideoT,
  title={Video textures},
  author={Arno Sch{\"o}dl and Richard Szeliski and D. Salesin and Irfan Essa},
  journal={Proceedings of the 27th annual conference on Computer graphics and interactive techniques},
  year={2000}
}
  • A. Schödl, R. Szeliski, +1 author Irfan Essa
  • Published 2000
  • Computer Science
  • Proceedings of the 27th annual conference on Computer graphics and interactive techniques
This paper introduces a new type of medium, called a video texture, which has qualities somewhere between those of a photograph and a video. A video texture provides a continuous infinitely varying stream of images. While the individual frames of a video texture may be repeated from time to time, the video sequence as a whole is never repeated exactly. Video textures can be used in place of digital photos to infuse a static image with dynamic qualities and explicit actions. We present… Expand
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References

SHOWING 1-10 OF 39 REFERENCES
Multiresolution video
We present a new representation for time-varying image data that allows for varying—and arbitrarily high—spatial and temporal resolutions in different parts of a video sequence. The representation,Expand
Image-based modeling, rendering, and lighting
TLDR
This special issue of IEEE Computer Graphics and Applications spotlights both the progress and recent advances in image-based approaches to computer graphics and demonstrates the indelible impact these approaches have had on the field. Expand
Layered depth images
TLDR
A set of efficient image based rendering methods capable of rendering multiple frames per second on a PC that warps Sprites with Depth representing smooth surfaces without the gaps found in other techniques and splatting an efficient solution to the resampling problem. Expand
Light field rendering
TLDR
This paper describes a sampled representation for light fields that allows for both efficient creation and display of inward and outward looking views, and describes a compression system that is able to compress the light fields generated by more than a factor of 100:1 with very little loss of fidelity. Expand
Video Rewrite: driving visual speech with audio
TLDR
Video Rewrite is the first facial-animation system to automate all the labeling and assembly tasks required to resync existing footage to a new soundtrack. Expand
Image-based modeling, rendering, and lighting in Fiat Lux
TLDR
This animation sketch presents how image-based modeling, rendering, and lighting were used to create the animation Fiat Lux from the SIGGRAPH 99 Electronic Theater. Expand
QuickTime VR: an image-based approach to virtual environment navigation
TLDR
This paper presents a new approach which uses 360-degree cylindrical panoramic images to compose a virtual environment which includes viewing of an object from different directions and hit-testing through orientation-independent hot spots. Expand
Multiresolution sampling procedure for analysis and synthesis of texture images
TLDR
A technique for treating input texture images as probability density estimators from which new textures, with similar appearance and structural properties, can be sampled, which more successfully capture the characteristics of input textures than do previous techniques. Expand
Creating full view panoramic image mosaics and environment maps
TLDR
This paper presents a novel approach to creating full view panoramic mosaics from image sequences that does not require any controlled motions or constraints on how the images are taken (as long as there is no strong motion parallax). Expand
Reality modeling and visualization from multiple video sequences
TLDR
Many issues demand resolution before one will see practical and realistic 3D digital video, including more robust shape recovery methods, broadcast-quality virtual views, and real-time interactive rendering of long 3D sequences. Expand
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