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JEG – Modeling aspects VQEG, Atlanta, Nov. 2010 Savvas Argyropoulos, Marcus Barkowsky Deutsche Telekom Laboratories University of Nantes/IRCCyN.

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Presentation on theme: "JEG – Modeling aspects VQEG, Atlanta, Nov. 2010 Savvas Argyropoulos, Marcus Barkowsky Deutsche Telekom Laboratories University of Nantes/IRCCyN."— Presentation transcript:

1 JEG – Modeling aspects VQEG, Atlanta, Nov. 2010 Savvas Argyropoulos, Marcus Barkowsky Deutsche Telekom Laboratories University of Nantes/IRCCyN

2 Impairment of pcap files  Tool for the impairment of pcap files based on a trace file  Developer: Dr. Bernhard Feiten  PCAPDropPackets  Based on the WpdPack open source software  Usage PCAPDropPackets.exe  Usage for retrieving the IP address: PCAPDropPackets.exe  TraceFile is an ASCII file – one line is read for each packet  Lines starting with ‘d’ result in a packet drop

3 Towards the hybrid model in JEG  Participants are invited to contribute components that will be combined in the final model  JEG contributors have probably developed their own tools  Individual modules could be contributed  Slight modifications may be required for the use of existing modules using the HMIX files

4 Towards the hybrid model in JEG

5 Bitstream Quality Indicators Framerate Picture Size MB type and QP MB type and Bitrate Motion Vectors and subblock pattern DCT coeff. distribution HMIX

6 Towards the hybrid model in JEG Saliency and Visual Attention Object detection Background segmentation Texture, Luminance, Color, Masking Effects Motion based algorithms Perspective estimation Attraction of gaze by severe degradations PVS Summary of Spatial Degradations HMIX Motion Vectors

7 Temporal Visual Attention Towards the hybrid model in JEG Temporal visibility of degradations Influence of Scene Cuts on Attention Behavioral changes across sequence PVS HMIX Motion Vectors

8 Image/Sequence Characterization Towards the hybrid model in JEG Amount of Motion Spatial Frequency, e.g. flat regions Content type classification Detection of Faces, Persons,... PVS HMIX Motion Vectors Content type classification, e.g. “Cartoon”

9 Towards the hybrid model in JEG Packet Loss Analysis Discontinuities, Artifacts Efficiency of Error Concealment in decoder Position and length in bitstream PVS HMIX

10 Towards the hybrid model in JEG


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