Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Espen Jacobsen

dblp:39/8693 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 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 networks
1 paper
Content delivery and video streaming · 91% Internet architecture and protocols · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Content delivery and video streaming › adaptive video streaming
HTTP adaptive streaming
0.112010
Pull-patching: a combination of multicast and adaptive segmented HTTP streaming · ACM Multimedia 2010
Content delivery and video streaming › video-on-demand
patching
0.112010
Pull-patching: a combination of multicast and adaptive segmented HTTP streaming · ACM Multimedia 2010
Content delivery and video streaming
video-on-demand
0.112010
Pull-patching: a combination of multicast and adaptive segmented HTTP streaming · ACM Multimedia 2010
Internet architecture and protocols
multicast
0.012010
Pull-patching: a combination of multicast and adaptive segmented HTTP streaming · ACM Multimedia 2010

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

pull-patching · 0.1
YearPublicationVenuePosition
2010 Pull-patching: a combination of multicast and adaptive segmented HTTP streaming
abstract
Multicast delivery for video streaming gains credibility with the introduction of commercial IPTV. We therefore revisit patching, a video-on-demand idea from the 1990s. We have built Pull-Patching, an approach that combines the patching ideas with adaptive segmented HTTP streaming, a unicast technique that is used by most commercial providers of large-scale, true video-on-demand in the Internet today. The prototype is tested in a combined Internet and lab en- vironment where we show the influence of practical factors like packet loss, delay and limited resource availability, and identify several details that require further study.
Espen Jacobsen, Carsten Griwodz, Pål Halvorsen
ACM Multimedia1