38 citations · 39 across the 4 of their papers we have counts for
5 papers
Streaming Real-Time Rendered Scenes as 3D Gaussians
Matti Siekkinen, Teemu Kämäräinen
Cloud rendering is widely used in gaming and XR to overcome limited client-side GPU resources and to support heterogeneous devices. Existing systems typically deliver the rendered…
Neural Network Assisted Depth Map Packing for Compression Using Standard Hardware Video Codecs
Matti Siekkinen, Teemu Kämäräinen
Depth maps are needed by various graphics rendering and processing operations. Depth map streaming is often necessary when such operations are performed in a distributed system and…
Latency and Throughput Characterization of Convolutional Neural Networks for Mobile Computer Vision
Jussi Hanhirova, Teemu Kämäräinen, Sipi Seppälä +3
We study performance characteristics of convolutional neural networks (CNN) for mobile computer vision systems. CNNs have proven to be a powerful and efficient approach to implemen…
Dissecting the End-to-end Latency of Interactive Mobile Video Applications
Teemu Kämäräinen, Matti Siekkinen, Antti Ylä-Jääski +2
In this paper we measure the step-wise latency in the pipeline of three kinds of interactive mobile video applications that are rapidly gaining popularity, namely Remote Graphics R…
A First Look at Quality of Mobile Live Streaming Experience: the Case of Periscope
Matti Siekkinen, Enrico Masala, Teemu Kämäräinen
Live multimedia streaming from mobile devices is rapidly gaining popularity but little is known about the QoE they provide. In this paper, we examine the Periscope service. We firs…