Name
Title | ||
|---|---|---|
Optimal slice size for streaming regions of high resolution video with virtual pan/tilt/zoom functionality |
Abstract | ||
|---|---|---|
High resolution digital imaging sensors are becoming more widespread. The challenges in delivering this high resolution content to the client are posed by limited resolu- tion of display panels and/or limited bit-rate for communi- cations. We propose a video coding scheme which enables virtual pan/tilt/zoom functionality during the streaming ses- sion. This way the server can adaptand stream only those re- gions of the video content that are desired at that time at the client's end. Apart from generating a multi-resolution repre- sentation, our coding scheme uses P slices from H.264/AVC for random access to arbitrary regions within every spatial resolution. We study the trade-off in the choice of slice size. A larger slice size enables higher coding efficiency for repre- sentingthe entire scene but increases the pixel overhead. The pixel overhead is due to superfluous pixels that are transmit- ted but not displayed at the client's end. The optimal slice size achieves the best trade-off and minimizes the expected number of bits transmitted to the client per frame. Our anal- ysis helps to predict the optimal slice size, which depends on the signal as well as the display resolution. Experimental results confirm the optimality of the predicted slice size for various test cases. |
Year | Venue | Keywords |
|---|---|---|
2007 | EUSIPCO | image representation,image resolution,image sensors,video coding,video streaming,h.264-avc,p slices,arbitrary regions,clients end,display panels,display resolution,high resolution digital imaging sensors,high resolution video,higher coding efficiency,limited bit-rate,multiresolution representation,optimal slice size,random access,spatial resolution,streaming regions,superfluous pixel overhead,video coding scheme,video content,virtual pan-tilt-zoom functionality |
Field | DocType | ISBN |
Computer vision,Coding tree unit,Display resolution,Computer science,Multiview Video Coding,Zoom,Pixel,Artificial intelligence,Image resolution,Random access,Scalable Video Coding | Conference | 978-839-2134-04-6 |
Citations | PageRank | References |
19 | 2.14 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aditya Mavlankar | 1 | 160 | 12.69 |
| Pierpaolo Baccichet | 2 | 116 | 9.97 |
| David P. Varodayan | 3 | 513 | 32.71 |
| Bernd Girod | 4 | 8988 | 1062.96 |