| Conference |
| Type of Publication |
| A Video-Scaling Algorithm Based on Human Perception for
Spatio-Temporal Stimuli |
| Title |
|
|
| Authors |
| Proceedings of SPIE, Multimedia Computing and
Networking, pp.
13--24, San José, CA, January 2001 |
| Published in |
| Video conferencing and high quality
video-on-demand services are very desirable for many Internet
users. However, Internet access channels ranging from wireless
connections to high-speed ATM networks mean great heterogeneity
with respect to bandwidth. Hierarchical video encoders that scale
and distribute video data over different layers enable users to
adapt video quality to the capacity of their Internet connection.
However, the construction of the layers at the encoder determines
the video quality that can be expected at the receiver. To
achieve an optimal configuration of the different layers with
respect to visual quality, we propose a hybrid scaling algorithm
that scales video data both in spatial and temporal dimension.
Using a quality metric based on properties of the human visual
system our algorithm calculates an optimal ratio between spatial
and temporal information. Additionally, we present experimental
results that demonstrate the capabilities of our
approach. |
| Abstract |
|
| Projects |
Hierarchical Video Encoding, Internet Video Streaming,
Video Quality Metric |
| Keywords |
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| Downloads & Bib-Entries |
