38 citations · 120 across the 14 of their papers we have counts for
16 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…
Multimodal Cyber-physical Interaction in XR: Hybrid Doctoral Thesis Defense
Ahmad Alhilal, Kit Yung Lam, Lik-Hang Lee +5
Academic events, such as a doctoral thesis defense, are typically limited to either physical co-location or flat video conferencing, resulting in rigid participation formats and fr…
EyeNexus: Adaptive Gaze-Driven Quality and Bitrate Streaming for Seamless VR Cloud Gaming Experiences
Ze Wu, Ahmad Alhilal, Yuk Hang Tsui +2
Virtual Reality (VR) cloud gaming systems render the 3D graphics on cloud servers for playing graphically demanding games on VR headsets. Delivering high-resolution game scenes is…
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…
Cloud Gaming With Foveated Graphics
Gazi Illahi, Thomas Van Gemert, Matti Siekkinen +3
Cloud gaming enables playing high end games, originally designed for PC or game console setups, on low end devices, such as net-books and smartphones, by offloading graphics render…
Cache-Aware QoE-Traffic Optimization in Mobile Edge Assisted Adaptive Video Streaming
Abbas Mehrabi, Matti Siekkinen, Antti Ylä-Jääski
Multi-access edge computing (MEC) enables placing video content at the edge of the network aiming to improve the quality of experience (QoE) of the mobile clients. Video content ca…
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…
Joint Optimization of QoE and Fairness Through Network Assisted Adaptive Mobile Video Streaming
Abbas Mehrabi, Matti Siekkinen, Antti Ylä-Jääski
MPEG has recently proposed Server and Network Assisted Dynamic Adaptive Streaming over HTTP (SAND-DASH) for video streaming over the Internet. In contrast to the purely client-base…
Foveated Video Streaming for Cloud Gaming
Gazi Illahi, Matti Siekkinen, Enrico Masala
Good user experience with interactive cloud-based multimedia applications, such as cloud gaming and cloud-based VR, requires low end-to-end latency and large amounts of downstream…
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…
Accurate Online Full Charge Capacity Modeling of Smartphone Batteries
Mohammad A. Hoque, Matti Siekkinen, Jonghoe Koo +1
Full charge capacity (FCC) refers to the amount of energy a battery can hold. It is the fundamental property of smartphone batteries that diminishes as the battery ages and is char…
Saving Energy in Mobile Devices for On-Demand Multimedia Streaming -- A Cross-Layer Approach
Mohammad Ashraful Hoque, Matti Siekkinen, Jukka K. Nurminen +2
This paper proposes a novel energy-efficient multimedia delivery system called EStreamer. First, we study the relationship between buffer size at the client, burst-shaped TCP-based…
Mobile Multimedia Streaming Techniques : QoE and Energy Consumption Perspective
Mohammad Ashraful Hoque, Matti Siekkinen, Jukka K. Nurminen +2
Multimedia streaming to mobile devices is challenging for two reasons. First, the way content is delivered to a client must ensure that the user does not experience a long initial…
Investigating Streaming Techniques and Energy Efficiency of Mobile Video Services
Mohammad Ashraful Hoque, Matti Siekkinen, Jukka K. Nurminen +1
We report results from a measurement study of three video streaming services, YouTube, Dailymotion and Vimeo on six different smartphones. We measure and analyze the traffic and en…
Offloadable Apps using SmartDiet: Towards an analysis toolkit for mobile application developers
Aki Saarinen, Matti Siekkinen, Yu Xiao +3
Offloading work to cloud is one of the proposed solutions for increasing the battery life of mobile devices. Most prior research has focused on computation-intensive applications,…