MO4.L6.4
Machine Learning-Based Decoding Energy Modeling for VVC Streaming
Reza Farahani, Alpen-Adria-Universitat Klagenfurt, Austria; Vignesh V Menon, Fraunhofer HHI, Germany; Christian Timmerer, Alpen-Adria-Universitat Klagenfurt, Austria
Session:
MO4.L6: Green Visual Coding (GVC) Lecture
Track:
Special Sessions
Location:
Room 4 (SS2)
Presentation Time:
Mon, 15 Sep, 17:15 - 17:30 Anchorage Time (UTC -8)
Session Chair:
Anissa Mokraoui, Université Sorbonne Paris Nord, L2TI
Presentation
Discussion
Resources
No resources available.
Session MO4.L6
MO4.L6.1: POWER COST COMPARISON OF NEURAL-NETWORK COMPRESSION METHODS FOR SATELLITE IMAGERY
Natàlia Blasco-Andreo, Universitat Autònoma de Barcelona, Spain; Sebastià Mijares, Institut d'Esudis Espacials de Catalunya, Spain; Marie Chabert, Thomas Oberlin, Université de Toulouse, France; Joan Serra-Sagristà, Universitat Autònoma de Barcelona, Spain
MO4.L6.2: LOW-RANK ADAPTATION OF PRE-TRAINED VISION BACKBONES FOR ENERGY-EFFICIENT IMAGE CODING FOR MACHINES
Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu, Purdue University, United States
MO4.L6.3: EFFICIENT CONSTRAINING OF TRANSCODING IN DNA-BASED IMAGE STORAGE
Sara Al Sayyed, Aline Roumy, Thomas Maugey, Université de Rennes, France
MO4.L6.4: Machine Learning-Based Decoding Energy Modeling for VVC Streaming
Reza Farahani, Alpen-Adria-Universitat Klagenfurt, Austria; Vignesh V Menon, Fraunhofer HHI, Germany; Christian Timmerer, Alpen-Adria-Universitat Klagenfurt, Austria
MO4.L6.5: Energy Efficiency of Video Quality Assessment Metrics
Steven Le Moan, Ha Thu Nguyen, Seyed Ali Amirshahi, Norwegian University of Science and Technology, Norway
MO4.L6.6: ACC: ALTERNATING COMPLEMENTARY COLORS FOR DISPLAY ENERGY REDUCTION
Kilian Ravon, Education Nationale, France, France; Claire-Hélène Demarty, Laurent Blondé, InterDigital, France, France
Contacts