Jung-Kyung is a member of Ofinno’s Video Compression team, where she works on next-generation standards like ECM. Her work currently focuses on intra prediction algorithms and reducing computational complexity. She earned her B.S. and Ph.D. in Electronic and Electrical Engineering from Ewha Womans University in Seoul, Republic of Korea, where she also completed her B.S. … Read more
At Ofinno, Damian leads the development of next-generation video compression technologies that go beyond the Versatile Video Coding (VVC) standard. His research focuses on advancing intra-prediction techniques and applying machine learning to enhance modern multimedia services. With deep expertise in international standardization, Damian has played a key role in global initiatives through his active contributions … Read more
At Ofinno, Chao focuses on standards and technologies for Video-based Dynamic Mesh Coding (V-DMC), a next-generation MPEG standard (ISO/IEC 23090-29). His research spans image, video, point cloud, and mesh compression, with current work pioneering new approaches in 3D Gaussian Splat compression. Chao earned his Ph.D. in Point Cloud Compression from Télécom SudParis, Institut Polytechnique de … Read more
Chao Cao Author In recent years, 3D content has become increasingly ubiquitous, enabling immersive experiences across several platforms and devices. 3D meshes, which offer a versatile and efficient representation to accurately represent immersive 3D content, are widely used across a wide range of industries. A new Dynamic Mesh coding standard is currently under development as … Read more
Vinod Kumar Malamal Vadakital Author Overview The MPEG immersive video standard (MIV) is one among a suite of MPEG-I standards which is focused on the coded representation of immersive media. MIV started as an exploration activity after the standardization of the Omnidirectional Media Format (OMAF) version 1. The mandate was to investigate coded immersive video … Read more
Young-Yoon Lee Author In our previous article, we introduced the status of Deep Neural Network-based Video Coding (DNNVC) approaches in the Moving Picture Expert Group (MPEG), one of the most important standardization groups for video compression technologies. In principle, video compression systems seek to minimize the end-to-end reconstruction distortion under a given bit rate budget, … Read more
Video transmission is expected to dominate 79% of current global internet traffic with an annual growth rate of 31% by 2020. With this trend, the advancement of video compression technology becomes more important to alleviate radically increasing internet traffic. This article introduces a brief status of DNN-based Video Coding (DNNVC) related activities, current issues in … Read more
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