G
Gisle Bjontegaard
Researcher at Cisco Systems, Inc.
Publications - 19
Citations - 821
Gisle Bjontegaard is an academic researcher from Cisco Systems, Inc.. The author has contributed to research in topics: Deblocking filter & Codec. The author has an hindex of 8, co-authored 19 publications receiving 748 citations.
Papers
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Journal ArticleDOI
HEVC Deblocking Filter
Andrey Norkin,Gisle Bjontegaard,Arild Fuldseth,Matthias Narroschke,Masaru Ikeda,Kenneth Andersson,Minhua Zhou,G. Van der Auwera +7 more
TL;DR: The in-loop deblocking filter used in the upcoming HEVC standard to reduce visible artifacts at block boundaries has lower computational complexity and better parallel processing capabilities while still achieving significant reduction of the visual artifacts.
Journal ArticleDOI
Core Transform Design in the High Efficiency Video Coding (HEVC) Standard
TL;DR: The core transforms specified for the high efficiency video coding (HEVC) standard were designed as finite precision approximations to the discrete cosine transform (DCT) to allow implementation friendliness and is friendly to parallel processing.
Journal ArticleDOI
High Performance, Low Complexity Video Coding and the Emerging HEVC Standard
Kemal Ugur,Kenneth Andersson,Arild Fuldseth,Gisle Bjontegaard,Lars Petter Endresen,Jani Lainema,Antti Hallapuro,Justin Ridge,Dmytro Rusanovskyy,Cixun Zhang,Andrey Norkin,Clinton Priddle,Thomas Rusert,Jonatan Samuelsson,Rickard Sjöberg,Zhuangfei Wu +15 more
TL;DR: Coding efficiency improvements are achieved with lower complexity than the H.264/AVC Baseline Profile, particularly suiting the proposal for high resolution, high quality applications in resource-constrained environments.
Book ChapterDOI
HEVC Transform and Quantization
TL;DR: HEVC specifies two-dimensional transforms of various sizes from 4 × 4 to 32 × 32 that are finite precision approximations to the discrete cosine transform (DCT) and also supports frequency-dependent quantization by using quantization matrices for all transform block sizes.
Proceedings ArticleDOI
Low complexity video coding and the emerging HEVC standard
Kemal Ugur,Kenneth Andersson,Arild Fuldseth,Gisle Bjontegaard,Lars Petter Endresen,Jani Lainema,Antti Hallapuro,Justin Ridge,Dmytro Rusanovskyy,Cixun Zhang,Andrey Norkin,Clinton Priddle,Thomas Rusert,Jonatan Samuelsson,Rickard Sjöberg,Zhuangfei Wu +15 more
TL;DR: The subjective quality of the proposal is evaluated extensively and the results show that the proposed method achieves similar visual quality as H.264/AVC High Profile anchors with around 50% and 35% bit rate reduction for low delay and random-access experiments respectively at high definition sequences.