Name
Abstract | ||
|---|---|---|
Parallel recordings made at the same event with different devices, e.g. by visitors of a concert, contain semantically the same content but do not run at the same speed when played back in parallel on a computer, which makes their synchronization difficult. This effect, time drift, concerns all current consumer multimedia recording devices and results from their internal clocks not running at the same speed, leading to deviations from their nominal sampling rates. We present a mobile application capable of conducting instant measurements of this time drift, thus helping in determining devices that go well together, or correcting the speed differences in post processing. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2647868.2654886 | ACM Multimedia 2001 |
Keywords | Field | DocType |
time drift,audio,clock drift,synchronization,signal analysis, synthesis, and processing,recording,audio input/output | Clock drift,Synchronization,Instant,Computer science,Real-time computing,Sampling (statistics),Multimedia | Conference |
Citations | PageRank | References |
2 | 0.44 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mario Guggenberger | 1 | 24 | 3.87 |
| Mathias Lux | 2 | 665 | 70.36 |
| László Böszörményi | 3 | 485 | 66.44 |