bachelor's thesis
Jani Asprov (Author), Veljko Pejović (Mentor), Octavian-Mihai Machidon (Co-mentor)

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.

Keywords

context sensing;approximate mobile computing;adaptive video resolution;spatial information;temporal information;mixed-effects modelling;computer and information science;diploma thesis;

Data

Language: English
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [J. Asprov]
UDC: 004(043.2)
COBISS: 82822147 Link will open in a new window
Views: 225
Downloads: 25
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary title: Učinkovito prilagajanje mobilnega videa na podlagi senzorskih informacij o aktivnosti uporabnika
Secondary 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.
Secondary keywords: zaznavanje konteksta;približno mobilno računanje;prilagodljiva kvaliteta videa;večnivojsko modeliranje;računalništvo in informatika;univerzitetni študij;diplomske naloge;Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000468
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 76 str.
ID: 13763217