Active SC 29 projects

Neural Network Compression

Artificial neural networks have been adopted for a broad range of tasks in multimedia analysis and processing, such as visual and acoustic classification, extraction of multimedia descriptors or image and video coding. The trained neural networks for these applications contain a large number of parameters (i.e., weights), resulting in a considerable size. Thus, transferring them […]

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Immersive Audio with 6 Degrees of Freedom

MPEG-I Audio seeks to provide an immersive virtual audio and visual experience to users wearing a head-mounted visual display (HMD) with audio headphones, or using loudspeakers. The user’s view and perception of the virtual reality environment (VR) is responsive to user motion (i.e. position and orientation), where the user is free to move around in

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Geometry-based Point Cloud Compression

In October 2020, MPEG completed development of its ISO/IEC 23090-9 Geometry-based Point Cloud Compression (G‑PCC) standard. G‑PCC addresses lossless and lossy coding of time-varying 3D point clouds with associated attributes such as colour and material properties. This technology is particularly suitable for sparse point clouds. ISO/IEC 23090-5 Video-based Point Cloud Compression (V‑PCC), which was completed

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Energy-Efficient Media Consumption (Green Metadata)

ISO/IEC 23001-11 specifies metadata (Green Metadata) that facilitates the reduction of energy usage during media consumption. The metadata enable means for (a) reducing decoder power consumption, (b) reducing display power consumption, (c) media selection for the joint decoder and display power reduction, and (d) quality recovery after low-power encoding. The third edition, which is currently

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Video-based Point Cloud Compression

In July 2020, MPEG completed its development of a Video-based Point Cloud Compression (V-PCC) standard. V-PCC addresses lossless and lossy coding of 3D point clouds with associated attributes such as colors and reflectance. Point clouds are typically represented by extremely large amounts of data, which is a significant barrier for mass market applications. However, the

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