A
A.E. Mohr
Researcher at University of Washington
Publications - 22
Citations - 1999
A.E. Mohr is an academic researcher from University of Washington. The author has contributed to research in topics: Packet loss & Network packet. The author has an hindex of 15, co-authored 22 publications receiving 1980 citations. Previous affiliations of A.E. Mohr include Stony Brook University & Microsoft.
Papers
More filters
Journal ArticleDOI
Unequal loss protection: graceful degradation of image quality over packet erasure channels through forward error correction
TL;DR: It is found that when optimizing for an exponential packet loss model with a mean loss rate of 20% and using a total rate of 0.2 bits per pixel on the Lenna image, good image quality can be obtained even when 40% of transmitted packets are lost.
Book ChapterDOI
Chainsaw: eliminating trees from overlay multicast
TL;DR: Chainsaw, a p2p overlay multicast system that completely eliminates trees, is presented and it is shown with simulations that Chainsaw has a short startup time, good resilience to catastrophic failure and essentially no packet loss.
Patent
Receiver-driven layered error correction multicast over heterogeneous packet networks
TL;DR: In this paper, a receiver-driven layered multicast (RLM) of real-time media over a heterogeneous packet network such as the Internet is proposed, where each receiver can separately optimize the quality of received audio and video information by subscribing to at least one error correction layer.
Journal ArticleDOI
Error control for receiver-driven layered multicast of audio and video
TL;DR: Although feedback is normally problematic in broadcast situations, ARQ can be simulated by having the receivers subscribe and unsubscribe to the delayed parity layers to receive missing information and this pseudo-ARQ scheme avoids an implosion of repeat requests at the sender.
Proceedings ArticleDOI
FEC and pseudo-ARQ for receiver-driven layered multicast of audio and video
TL;DR: In this paper, the authors consider the problem of joint source/channel coding of real-time sources, such as audio and video, for the purpose of multicasting over the Internet.