izpis_h1_title_alt

Harnessing human activity sensing for resource-efficient mobile video adaptation
ID ASPROV, JANI (Author), ID Pejović, Veljko (Mentor) More about this mentor... This link opens in a new window, ID Machidon, Octavian-Mihai (Co-mentor)

.pdfPDF - Presentation file, Download (2,19 MB)
MD5: 1DCB6171F429E2546F92A73B6A6210CD

Abstract
The advancement of battery technology is falling behind the progress of mobile processing capabilities and storage technology. This presents an issue which needs to be addressed, given the ever-increasing energy consumption by mobile applications. To reduce these energy demands we can make use of approximate computing techniques, which act as a countermeasure to overcome this problem by reducing computation accuracy to achieve higher energy efficiency, without having a negative impact on the end-user experience. Since the most frequently used applications on mobile devices are ones from the multimedia domain, we show how these techniques can be applied to video playback with the use of context-aware video quality adaptation. We conduct a supervised user study to inspect how the context in which a video is played, its content and the user's personality affect the video quality requirements of the user, and discover that the user's physical activity, the spatial and temporal properties of a video, and the user's personality traits all play a role in influencing the minimal acceptable playback resolution.

Language:English
Keywords:context sensing, approximate mobile computing, adaptive video resolution, spatial information, temporal information, mixed-effects modelling
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2021
PID:20.500.12556/RUL-132546 This link opens in a new window
COBISS.SI-ID:82822147 This link opens in a new window
Publication date in RUL:28.10.2021
Views:964
Downloads:51
Metadata:XML RDF-CHPDL DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Secondary language

Language:Slovenian
Title:Učinkovito prilagajanje mobilnega videa na podlagi senzorskih informacij o aktivnosti uporabnika
Abstract:
Napredek tehnologije baterij zaostaja za napredkom računske sposobnosti mobilnih naprav in tehnologije shranjevanja. To predstavlja težavo, ki jo je potrebno obravnavati glede na vedno naraščajočo porabo energije s strani mobilnih aplikacijah. Eden od načinov za izboljšanje energetske učinkovitosti mobilnih naprav je z uporabo tehnik približnega računanja, ki dosežejo boljšo učinkovitost z zmanjšanjem natančnosti izračuna, ne da bi to negativno vplivalo na uporabniško izkušnjo. Ker so najpogosteje uporabljene aplikacije na mobilnih napravah tiste iz multimedijske domene, v tem delu pokažemo, kako je mogoče te tehnike uporabiti pri predvajanju videa z uporabo kontekstno odvisne prilagoditve kakovosti videa. Izvedemo nadzorovano študijo uporabnikov, da preverimo, kako kontekst v katerem se predvaja videoposnetek, njegova vsebina in uporabnikova osebnost, vplivajo na zahteve uporabnika glede kakovosti videa in odkrijemo, da fizična aktivnost, prostorske in časovne lastnosti videoposnetka ter osebnost uporabnika igrajo vlogo pri pri določanju minimalne sprejemljive kakovosti videa.

Keywords:zaznavanje konteksta, približno mobilno računanje, prilagodljiva kvaliteta videa, večnivojsko modeliranje

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back