VECTORS — VidEo Communication Through Opportunistic Relays and Scalable video coding | Zendy

Abhishek Thakur | Zendy; Arnav Dhamija | Zendy; Tejeshwar Reddy G | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

VECTORS — VidEo Communication Through Opportunistic Relays and Scalable video coding

Author(s) -

Abhishek Thakur,

Arnav Dhamija,

Tejeshwar Reddy G

Publication year - 2019

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2018.12.006

Subject(s) - computer science , scalability , scalable video coding , real time computing , video tracking , architecture , software , coding (social sciences) , computer network , distributed computing , artificial intelligence , video processing , operating system , art , visual arts , statistics , mathematics

Crowd-sourced video distribution is frequently of interest in the local vicinity. In this paper, we present a software platform called VECTORS to transfer videos over opportunistic networks with adaptive quality encoding to achieve reasonable delay bounds. The video segments are transmitted between source and destination in a delay tolerant manner using the Nearby Connections Android library. VECTORS can be applied to multiple domains including farm monitoring, wildlife, environmental tracking, or disaster response scenarios. In addition to the software architecture of VECTORS, we also discuss basic results for the trial runs conducted within our institute and provide an empirical analysis of proposed architecture using simulation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research