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Video streaming with diversity
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003Packet path diversity is one of the recent advances in network-adaptive video streaming. In this paper we first examine two specific techniques for video streaming that exploit diversity to achieve improved performance. The first technique uses a framework for rate-distortion optimized scheduling of the packet transmissions over the available network ...
Jacob Chakareski +3 more
openaire +1 more source
20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06), 2006
In this paper, we propose SAVe, a real-time stream authentication scheme for video streams. Each packet in the stream is authenticated to correspond to packet loss seen in UDP-based streaming. Since temporal and spatial compression techniques are adopted for video stream encoding, there are differences in the importance and dependencies between frames.
Shintaro Ueda +4 more
openaire +1 more source
In this paper, we propose SAVe, a real-time stream authentication scheme for video streams. Each packet in the stream is authenticated to correspond to packet loss seen in UDP-based streaming. Since temporal and spatial compression techniques are adopted for video stream encoding, there are differences in the importance and dependencies between frames.
Shintaro Ueda +4 more
openaire +1 more source
Video Super-Resolution and Caching—An Edge-Assisted Adaptive Video Streaming Solution
IEEE transactions on broadcasting, 2021Edge computing provides the potential to improve users’ Quality of Experience (QoE) in ever-increasing video delivery. However, existing edge-based solutions cannot fully utilize the edge computing power and storage capacity.
Aoyang Zhang +7 more
semanticscholar +1 more source
ViVo: visibility-aware mobile volumetric video streaming
ACM/IEEE International Conference on Mobile Computing and Networking, 2020In this paper, we perform a first comprehensive study of mobile volumetric video streaming. Volumetric videos are truly 3D, allowing six degrees of freedom (6DoF) movement for their viewers during playback.
B. Han, Yu Liu, Feng Qian
semanticscholar +1 more source
Streaming Video Question-Answering with In-context Video KV-Cache Retrieval
International Conference on Learning RepresentationsWe propose ReKV, a novel training-free approach that enables efficient streaming video question-answering (StreamingVQA), by seamlessly integrating with existing Video Large Language Models (Video-LLMs).
Shangzhe Di +9 more
semanticscholar +1 more source
TVG-Streaming: Learning User Behaviors for QoE-Optimized 360-Degree Video Streaming
IEEE transactions on circuits and systems for video technology (Print), 2021360-degree video streaming shows great potential to revolutionize the streaming market, by providing much better immersive experience than standard video streams.
Miao Hu +5 more
semanticscholar +1 more source
Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge
International Conference on Learning RepresentationsRecent advances in Large Language Models (LLMs) have enabled the development of Video-LLMs, advancing multimodal learning by bridging video data with language tasks.
Haomiao Xiong +6 more
semanticscholar +1 more source
Mobile video streaming with video quality and streaming performance guarantees
2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2015Mobile video streaming has become a mainstream application due to vastly improved smartphone hardware and mobile network capacity in recent years. Nevertheless, mobile video streaming remains challenging in practice due to mobile network's inherent bandwidth fluctuations.
Victor K. C. Wu +2 more
openaire +1 more source
SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding
International Conference on Learning RepresentationsDespite the significant advancements of Large Vision-Language Models (LVLMs) on established benchmarks, there remains a notable gap in suitable evaluation regarding their applicability in the emerging domain of long-context streaming video understanding.
Zhenyu Yang +8 more
semanticscholar +1 more source
Streaming Long Video Understanding with Large Language Models
Neural Information Processing SystemsThis paper presents VideoStreaming, an advanced vision-language large model (VLLM) for video understanding, that capably understands arbitrary-length video with a constant number of video tokens streamingly encoded and adaptively selected.
Rui Qian +6 more
semanticscholar +1 more source