• Title/Summary/Keyword: Remote Video Transmission

Search Result 53, Processing Time 0.02 seconds

Stereo image compression based on error concealment for 3D television (3차원 텔레비전을 위한 에러 은닉 기반 스테레오 영상 압축)

  • Bak, Sungchul;Sim, Donggyu;Namkung, Jae-Chan;Oh, Seoung-jun
    • Journal of Broadcast Engineering
    • /
    • v.10 no.3
    • /
    • pp.286-296
    • /
    • 2005
  • This paper presents a stereo-based image compression and transmission system for 3D realistic television. In the proposed system, a disparity map is extracted from an input stereo image pair and the extracted disparity map and one of two input images are transmitted or stored at a local or remote site. However, correspondences can not be determined in occlusion areas. Thus, it is not easy to recover 3D information in such regions. In this paper, a reconstruction image compensation algorithm based on error block concealment and in-loop filtering is proposed to minimize the reconstruction error in generating stereo image pair. The effectiveness of the proposed algorithm is shown in term of objective accuracy of reconstruction image with several real stereo image pairs.

Relaying of 4G Signal over 5G Suitable for Disaster Management following 3GPP Release 18 Standard

  • Jayanta Kumar Ray;Ardhendu Shekhar Biswas;Arpita Sarkar;Rabindranath Bera;Sanjib Sil;Monojit Mitra
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.17 no.2
    • /
    • pp.369-390
    • /
    • 2023
  • Technologies for disaster management are highly sought areas for research and commercial deployment. Landslides, Flood, cyclones, earthquakes, forest fires and road/train accidents are some causes of disasters. Capturing video and accessing data in real time from the disaster site can help first responders make split second decisions which may save human lives and valuable resource destructions. In this context the communication technologies performing the task should have high bandwidth and low latency which only 5G can deliver. But unfortunately in India, deployment of the 5G mobile communication systems is yet to give a shape and again in remote areas unavailability of 4G signals is still severe. In this situation the authors have proposed, simulated and experimented a 4G-5G communication scheme where from the disaster site the signals will be transmitted by a 5G terminal to a nearby 4G-5G gateway installed in a mobile vehicle. The received 5G signal will be further relayed by the 4G-5G gateway to the fixed 4G base station for onward transmission towards the disaster management station for decision making, deployment and relief monitoring. The 4G-5G gateway acts as a relay and converter of 5G signal to 4G signal and vice versa. This relayed system can be further mounted on a vehicle mounted relay (VMR) as proposed by 3GPP in Release 18. The scheme is also in the same line of context with Verizon's, "Tactical Humanitarian Operations Response" (THOR) vehicle concept. The performance of the link is studied in different channel conditions, the throughput achieved is superb. The authors have implemented the above mentioned system towards smart campus networking and monitoring landslides activities which are common in their regions.

Low-Power Streamable AI Software Runtime Execution based on Collaborative Edge-Cloud Image Processing in Metaverse Applications (에지 클라우드 협동 이미지 처리기반 메타버스에서 스트리밍 가능한 저전력 AI 소프트웨어의 런타임 실행)

  • Kang, Myeongjin;Kim, Ho;Park, Jungwon;Yang, Seongbeom;Yun, Junseo;Park, Daejin
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.26 no.11
    • /
    • pp.1577-1585
    • /
    • 2022
  • As the interest in the 4th industrial revolution and metaverse increases, metaverse with multi edge structure is proposed and noted. Metaverse is a structure that can create digital doctor-like system through a large amount of image processing and data transmission in a multi edge system. Since metaverse application requires calculating performance, which can reconstruct 3-D space, edge hardware's insufficient calculating performance has been a problem. To provide streamable AI software in runtime, image processing, and data transmission, which is edge's loads, needs to be lightweight. Also lightweight at the edge leads to power consumption reduction of the entire metaverse application system. In this paper, we propose collaborative edge-cloud image processing with remote image processing method and Region of Interest (ROI) to overcome edge's power performance and build streamable and runtime executable AI software. The proposed structure was implemented using a PC and an embedded board, and the reduction of time, power, and network communications were verified.