This document summarizes recent research on video streaming over Bluetooth networks. It discusses three key areas: intermediate protocols, quality of service (QoS) control, and media compression. For intermediate protocols, it evaluates streaming via HCI, L2CAP, and IP layers and their tradeoffs. For QoS control, it describes how error control mechanisms like link layer FEC, retransmission, and error concealment can improve video quality over Bluetooth. It also discusses congestion control. For media compression, it notes the importance of compression to achieve efficiency over limited Bluetooth bandwidths.
Free-riding Resilient Video Streaming in Peer-to-Peer NetworksVideoguy
This document summarizes a PhD thesis about free-riding resilient video streaming in peer-to-peer networks. The thesis contains research on two approaches: tree-based live streaming and swarm-based video-on-demand. For tree-based live streaming, the thesis presents the Orchard algorithm for constructing and maintaining trees to distribute video in a peer-to-peer network. It analyzes attacks on Orchard like free-riding and evaluates Orchard's performance under different conditions through experiments. For swarm-based video-on-demand, the thesis introduces the Give-to-Get approach for distributing video files and compares it to other peer-to-peer protocols. It evaluates Give-to-Get's performance in experiments
The document compares Microsoft Windows Media and the Adobe Flash Platform for streaming media. It discusses key differences like user experience, workflows, and playback reach. Flash offers more flexibility in creative expression, richer interactions, and wider device playback than Windows Media. It also has a 98% install base, making it easier for viewers to watch streams without extra software. The document outlines workflows for experience design, programming, broadcasting, production, and more using Flash tools versus Microsoft alternatives.
Proxy Cache Management for Fine-Grained Scalable Video StreamingVideoguy
This document proposes a novel video caching framework that uses MPEG-4 Fine-Grained Scalable (FGS) video with post-encoding rate control to achieve low-cost and fine-grained rate adaptation. The framework allows clients to have heterogeneous bandwidths and enables adaptive control of backbone bandwidth consumption. It examines issues in caching FGS videos, such as determining the optimal portion to cache (in terms of length and rate) and optimal streaming rate to clients. Simulation results show it significantly reduces transmission costs compared to non-adaptive caching while providing flexible utility to heterogeneous clients with low computational overhead.
Microsoft PowerPoint - WirelessCluster_PresVideoguy
This document analyzes delays in unicast video streaming over IEEE 802.11 WLAN networks. It describes conducting an experiment using a testbed with a Darwin Streaming Server and WLAN probe to capture packets. The analysis found that video bitrate variations, packetization scheme, bandwidth load, and frame-based nature of video all impacted mean delay. Bursts of packets from video frames caused per-packet delay to increase in a sawtooth pattern. Increasing uplink load was also found to affect delay variations.
This paper proposes an adaptive energy management policy for wireless video streaming between a battery-powered client and server. It models the energy consumption of the server and client based on factors like CPU frequency, transmission power, and channel bandwidth. The paper formulates an optimization problem to assign optimal energy to each video frame. This maximizes system lifetime while meeting a minimum video quality requirement. Experimental results show the proposed policy increases overall system lifetime by 20% on average.
Силиконовая долина: закулисье глазами HRBBDO Group
Как работают в Airbnb? За что увольняют из Facebook и Google? Какая культура царит внутри этих компаний? HR-директор BBDO Group Марина Швоева делится впечатлениями от поездки в Силиконовую долину.
This document summarizes recent research on video streaming over Bluetooth networks. It discusses three key areas: intermediate protocols, quality of service (QoS) control, and media compression. For intermediate protocols, it evaluates streaming via HCI, L2CAP, and IP layers and their tradeoffs. For QoS control, it describes how error control mechanisms like link layer FEC, retransmission, and error concealment can improve video quality over Bluetooth. It also discusses congestion control. For media compression, it notes the importance of compression to achieve efficiency over limited Bluetooth bandwidths.
Free-riding Resilient Video Streaming in Peer-to-Peer NetworksVideoguy
This document summarizes a PhD thesis about free-riding resilient video streaming in peer-to-peer networks. The thesis contains research on two approaches: tree-based live streaming and swarm-based video-on-demand. For tree-based live streaming, the thesis presents the Orchard algorithm for constructing and maintaining trees to distribute video in a peer-to-peer network. It analyzes attacks on Orchard like free-riding and evaluates Orchard's performance under different conditions through experiments. For swarm-based video-on-demand, the thesis introduces the Give-to-Get approach for distributing video files and compares it to other peer-to-peer protocols. It evaluates Give-to-Get's performance in experiments
The document compares Microsoft Windows Media and the Adobe Flash Platform for streaming media. It discusses key differences like user experience, workflows, and playback reach. Flash offers more flexibility in creative expression, richer interactions, and wider device playback than Windows Media. It also has a 98% install base, making it easier for viewers to watch streams without extra software. The document outlines workflows for experience design, programming, broadcasting, production, and more using Flash tools versus Microsoft alternatives.
Proxy Cache Management for Fine-Grained Scalable Video StreamingVideoguy
This document proposes a novel video caching framework that uses MPEG-4 Fine-Grained Scalable (FGS) video with post-encoding rate control to achieve low-cost and fine-grained rate adaptation. The framework allows clients to have heterogeneous bandwidths and enables adaptive control of backbone bandwidth consumption. It examines issues in caching FGS videos, such as determining the optimal portion to cache (in terms of length and rate) and optimal streaming rate to clients. Simulation results show it significantly reduces transmission costs compared to non-adaptive caching while providing flexible utility to heterogeneous clients with low computational overhead.
Microsoft PowerPoint - WirelessCluster_PresVideoguy
This document analyzes delays in unicast video streaming over IEEE 802.11 WLAN networks. It describes conducting an experiment using a testbed with a Darwin Streaming Server and WLAN probe to capture packets. The analysis found that video bitrate variations, packetization scheme, bandwidth load, and frame-based nature of video all impacted mean delay. Bursts of packets from video frames caused per-packet delay to increase in a sawtooth pattern. Increasing uplink load was also found to affect delay variations.
This paper proposes an adaptive energy management policy for wireless video streaming between a battery-powered client and server. It models the energy consumption of the server and client based on factors like CPU frequency, transmission power, and channel bandwidth. The paper formulates an optimization problem to assign optimal energy to each video frame. This maximizes system lifetime while meeting a minimum video quality requirement. Experimental results show the proposed policy increases overall system lifetime by 20% on average.
Силиконовая долина: закулисье глазами HRBBDO Group
Как работают в Airbnb? За что увольняют из Facebook и Google? Какая культура царит внутри этих компаний? HR-директор BBDO Group Марина Швоева делится впечатлениями от поездки в Силиконовую долину.
4. • «Вдохновляю, мотивирую,
учу и помогаю быть
эффективными, цельными,
спокойно сильными и
успешными во всём:
не «достигать успеха» —
жить с успехом»!