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Oche Ejembi

dblp:153/2277 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Audio and music processing · 50% Multimedia systems and quality of experience · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › speech recognition › decoding
video decoding
0.212014
Help Save The Planet: Please Do Adjust Your Picture · ACM Multimedia 2014
Energy-efficient computing
power management
0.112014
Help Save The Planet: Please Do Adjust Your Picture · ACM Multimedia 2014

Methods — techniques the papers use, named apart from their topics

energy measurement methodology · 0.4codec comparison · 0.4
YearPublicationVenuePosition
2015 Go Green with EnVI: the Energy-Video Index
abstract
Video is the most prevalent traffic type on the Internet today. Significant research has been done on measuring user's Quality of Experience (QoE) through different metrics. We take the position that energy use must be incorporated into quality metrics for digital video. We present our novel, energy-aware QoE metric for video, the Energy-Video Index (EnVI). We present our EnVI measurements from the playback of a diverse set of online videos. We observe that 4K-UHD (2160p) video can use ~30% more energy on a client device compared to HD (720p), and up to ~600% more network bandwidth than FHD (1080p), without significant improvement in objective QoE measurements.
Oche Ejembi, Saleem N. Bhatti
ISM1
2014 Help Save The Planet: Please Do Adjust Your Picture
abstract
Allowing digital video users to make choices of picture size and codec would significantly reduce energy usage, electricity costs and the carbon footprint of Internet users. Our empirical investigation shows a difference of up to a factor of 3 in energy usage for video decoding using different codecs at the same picture size and bitrate, on a desktop client system. With video traffic already responsible for the largest and fastest growing proportion of traffic on the Internet, a significant amount of energy, money and carbon output is due to video. We present a simple methodology and metrics that can be used to give an intuitive, quantitative and comparable assessment of the energy usage of video decoding. Providing energy usage information to users would empower them to make sensible choices. We demonstrate how small energy savings for individual client systems could give significant energy savings when considered at a global scale.
Oche Ejembi, Saleem N. Bhatti
ACM Multimedia1