Power-Aware HEVC Compression Through Asymmetric JPEG XS Frame Buffer Compression

Willeme, Alexandre; Macq, Benoı̂t; Descampe, Antonin; Rouvroy, Gaël

doi:10.1109/icip.2018.8451539

Cited by 5 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In works presented by Lian et al [16] and Willeme et al [17], lossy reference frame compression schemes are proposed. In these works the authors use techniques such as quantization, differential coding, variable length coding, and transforms to compress the reference frame.…”

Section: Reference Frame Compressionmentioning

confidence: 99%

See 1 more Smart Citation

Low-energy motion estimation memory system with dynamic management

Silveira

Amaral

Povala

et al. 2021

J Real-Time Image Proc

View full text Add to dashboard Cite

The digital video coding process imposes severe pressure on memory traffic, leading to considerable power consumption related to frequent DRAM accesses. External off-chip memory demand needs to be minimized by clever architecture/ algorithm co-design, thus saving energy and extending battery lifetime during video encoding. To exploit temporal redundancies among neighboring frames, the motion estimation (ME) algorithm searches for good matching between the current block and blocks within reference frames stored in external memory. To save energy during ME, this work performs memory accesses distribution analysis of the test zone search (TZS) ME algorithm and, based on this analysis, proposes both a multi-sector scratchpad memory design and dynamic management for the TZS memory access. Our dynamic memory management, called neighbor management, reduces both static consumption-by employing sectorlevel power gating-and dynamic consumption-by reducing the number of accesses for ME execution. Additionally, our dynamic management was integrated with two previously proposed solutions: a hardware reference frame compressor and the Level C data reuse scheme (using a scratchpad memory). This system achieves a memory energy consumption savings of 99.8% and, when compared to the baseline solution composed of a reference frame compressor and data reuse scheme, the memory energy consumption was reduced by 44.1% at a cost of just 0.35% loss in coding efficiency, on average. When compared with related works, our system presents better memory bandwidth/energy savings and coding efficiency results.

show abstract

Section: Reference Frame Compressionmentioning

confidence: 99%

“…For write operations the EC is defined in Eqs. ( 15)- (17). Total EC of this scheme is obtained by Eq.…”

Section: Energy Consumption Modelmentioning

confidence: 99%

Low-energy motion estimation memory system with dynamic management

Silveira

Amaral

Povala

et al. 2021

J Real-Time Image Proc

View full text Add to dashboard Cite

show abstract

“…Additionally, the authors introduced a term called JPEG-XS which addressed the requirement for interoperable video over IP. In another research study, Willeme et al [52] adopted a similar approach to JPEG-XS for image buffer compression. The proposed research aims to reduce the frame buffers' bandwidth and make HEVC more reliable for energy-aware applications.…”

Section: Multimedia Compression Standardsmentioning

confidence: 99%

Multimedia Transmission Mechanism for Streaming Over Wireless Communication Channel

Shwetha¹,

Devi²

2021

IJACSA

View full text Add to dashboard Cite

With the evolution of wireless communication technologies (i.e., 4G/5G), the explosion of multimedia transmission of content sharing has become an integral part of users' daily lives. It expects further growth in Quality of Service (QoS) and Quality-of-Experience (QoE) performance. Therefore, multimedia service providers are developing new technologies to offer higher video streaming quality content along with video compression standards, which is highly demanded by the receivers. Thus, inventing precise and efficient quality-based media transmission protocol will significantly help to improve the multimedia QoS over wireless networks. This comprehensive research study discusses standard research work progress in multimedia transmission protocol for wireless communication networks. It also investigates the limitations of such literature found some challenging factors that play a significant role in managing the superior signal quality for digital or video content transmission over heavy traffic conditions. The final section provides a briefing on crucial open research issues to develop a multimedia transmission model that can seamlessly communicate multimedia content irrespective of adverse traffic conditions.

show abstract

A Lightweight Frame Buffer Compression Codec for Memory-Efficient Applications

Zhang,

2024

Microelectronics Journal

View full text Add to dashboard Cite

Power-Aware HEVC Compression Through Asymmetric JPEG XS Frame Buffer Compression

Cited by 5 publications

References 13 publications

Low-energy motion estimation memory system with dynamic management

Low-energy motion estimation memory system with dynamic management

Multimedia Transmission Mechanism for Streaming Over Wireless Communication Channel

A Lightweight Frame Buffer Compression Codec for Memory-Efficient Applications

Contact Info

Product

Resources

About