title: Adaptive emergency scenery video communications using HEVC for responsive decision support in disaster incidents.
abstract: This study proposes a unifying framework for m-Health video communication systems that provides for the joint optimization of video quality, bitrate demands, and encoding time. The framework is video modality and infrastructure independent and facilitates adaptation to the best available encoding mode that satisfies underlying technology and application imposed constraints. The scalability of the proposed algorithm is demonstrated using different HEVC encoding configurations and realistic modelling of 802.11× wireless infrastructure for emergency scenery and response videos. Extensive experimentation shows that a jointly optimal solution in the encoding time, bitrate, and video quality space is feasible.
authors.forename: Z
authors.initials: Z
authors.lastname: Antoniou
authors.forename: A S
authors.initials: AS
authors.lastname: Panayides
authors.forename: M S
authors.initials: MS
authors.lastname: Pattichis
authors.forename: S
authors.initials: S
authors.lastname: Stavrou
authors.forename: E
authors.initials: E
authors.lastname: Kyriacou
authors.forename: A
authors.initials: A
authors.lastname: Spanias
authors.forename: A G
authors.initials: AG
authors.lastname: Constantinides
authors.forename: C S
authors.initials: CS
authors.lastname: Pattichis
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D003661:Decision Support Techniques; D004190:Disasters; D004635:Emergency Medicine / Q000379:methods*; D006801:Humans; D017216:Telemedicine / Q000295:instrumentation; D014741:Video Recording / Q000379:methods*; D059015:Wireless Technology / Q000295:instrumentation