Robust Subband/Wavelet Coding and Transmission of Images and Video
Domain Partitioning for Packet-based Transmission
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In this text we investigate robust subband/waveletcoding and transmission of images and video. The textis divided into two parts. In the first part we focuson robust encoding of image and video sources bydomain partitioning. The goal is to optimally dividethe signal domain and encode the different componentsindependently so that missing components can beeasily estimated from the received ones upontransmission. We show that such a scheme can providerelatively good results even when simple estimationmethods are used. Further performance improvement canbe achieved through unequal loss protection ...
In this text we investigate robust subband/wavelet
coding and transmission of images and video. The text
is divided into two parts. In the first part we focus
on robust encoding of image and video sources by
domain partitioning. The goal is to optimally divide
the signal domain and encode the different components
independently so that missing components can be
easily estimated from the received ones upon
transmission. We show that such a scheme can provide
relatively good results even when simple estimation
methods are used. Further performance improvement can
be achieved through unequal loss protection provided
by channel coding or intelligent congestion control.
In the second part we focus on robust streaming of
scalable video. Our approach is based on the recently
developed MC-EZBC coder. We use channel coding to
create multiple descriptions from MC-EZBC video bit
streams for robust streaming. We also propose a
motion compensated estimation method to recover parts
of the video affected by high loss. Finally, we
describe the MC-EZBC video streaming experiments
performed on the MPEG-21 multimedia test bed.
coding and transmission of images and video. The text
is divided into two parts. In the first part we focus
on robust encoding of image and video sources by
domain partitioning. The goal is to optimally divide
the signal domain and encode the different components
independently so that missing components can be
easily estimated from the received ones upon
transmission. We show that such a scheme can provide
relatively good results even when simple estimation
methods are used. Further performance improvement can
be achieved through unequal loss protection provided
by channel coding or intelligent congestion control.
In the second part we focus on robust streaming of
scalable video. Our approach is based on the recently
developed MC-EZBC coder. We use channel coding to
create multiple descriptions from MC-EZBC video bit
streams for robust streaming. We also propose a
motion compensated estimation method to recover parts
of the video affected by high loss. Finally, we
describe the MC-EZBC video streaming experiments
performed on the MPEG-21 multimedia test bed.
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