Mateus Grellert
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View article: End-to-End Neural Video Compression: A Review
End-to-End Neural Video Compression: A Review Open
The pervasive presence of video content has spurred the development of advanced technologies to manage, process, and deliver high-quality content efficiently. Video compression is crucial in providing high-quality video services under limi…
View article: Asymmetric Multi-Layer Compression: Decoupling Inter-Layer Coding Dependencies With a Learned Model
Asymmetric Multi-Layer Compression: Decoupling Inter-Layer Coding Dependencies With a Learned Model Open
Multi-layer compression is employed to achieve scalability by providing a base bitstream and additional enhancement layers to be used when extra bandwidth is available. In this work, we combine handcrafted and learned solutions, isolating …
View article: Automated Design Space Exploration of Approximation-Enabled Accelerators: A Systematic Literature Mapping
Automated Design Space Exploration of Approximation-Enabled Accelerators: A Systematic Literature Mapping Open
This paper provides a systematic mapping of the literature regarding automated Design Space Exploration (DSE) for error-tolerant systems, where Approximate Computing (AxC) can be included to provide gains in energy efficiency or performanc…
View article: A Survey on Approximate Computing and Storage Techniques Applied to Video Coding Systems
A Survey on Approximate Computing and Storage Techniques Applied to Video Coding Systems Open
Video coding standards are the key enablers of recent video applications, such as video conferencing, video on demand, and immersive video. The recent standards have become more efficient in compressing such video data with higher quality …
View article: Energy-Efficient Interpolation Filter Design for VVC Encoders Using Cross-Layer Approximate Computing
Energy-Efficient Interpolation Filter Design for VVC Encoders Using Cross-Layer Approximate Computing Open
Recent advancements in video encoding have enabled significant compression rates but at the expense of increased power consumption and computational demands. This trade-off has driven the need for dedicated accelerators capable of leveragi…
View article: Shock index and its variants as predictors of mortality in severe traumatic brain injury
Shock index and its variants as predictors of mortality in severe traumatic brain injury Open
BACKGROUND The increase in severe traumatic brain injury (sTBI) incidence is a worldwide phenomenon, resulting in a heavy disease burden in the public health systems, specifically in emerging countries. The shock index (SI) is a physiologi…
View article: Variable Block Size Fractional Motion Estimation Hardware Architecture for VVC and HEVC Standards
Variable Block Size Fractional Motion Estimation Hardware Architecture for VVC and HEVC Standards Open
The ever-increasing growth in digital video consumption motivates the research and development of new video coding standards to improve coding efficiency. Among the several new tools that the Versatile Video Coding (VVC) standard introduce…
View article: A Design Space Exploration of Power-efficient Gaussian Filter Architectures using Logical Optimization and Approximated Adders
A Design Space Exploration of Power-efficient Gaussian Filter Architectures using Logical Optimization and Approximated Adders Open
Gaussian filtering is an important step in many image-processing applications because it reduces image noise.However, this step is also compute-intensive, so power-optimized hardware architectures are necessary to allow its adoption in emb…
View article: Explorando Predição da Caracterização Elétrica com Machine Learning
Explorando Predição da Caracterização Elétrica com Machine Learning Open
With the advancement of integrated circuit manufacturing technology,more and more aspects must be considered during the electricalcharacterization of circuits in order to solve challenges such as processvariability effect. This increases t…
View article: Event detection in therapy sessions for children with Autism
Event detection in therapy sessions for children with Autism Open
Autism spectrum disorder (ASD) impacts communication and cognitivedevelopment of children and adults, has aworldwide prevalenceof 1% on children and affects not only the people with this disorder,but also their family and the surrounding c…
View article: CGP-based Logic Flow: Optimizing Accuracy and Size of Approximate Circuits
CGP-based Logic Flow: Optimizing Accuracy and Size of Approximate Circuits Open
Logic synthesis tools face tough challenges when providing algorithms for synthesizing circuits with increased inputs and complexity. Machine learning techniques show high performance in solving specific problems, being an attractive optio…
View article: Quality and Complexity Assessment of Learning-Based Image Compression Solutions
Quality and Complexity Assessment of Learning-Based Image Compression Solutions Open
This work presents an analysis of state-of-the-art learning-based image compression techniques. We compare 8 models available in the Tensorflow Compression package in terms of visual quality metrics and processing time, using the KODAK dat…
View article: Approximate Hardware Architecture for Interpolation Filter of Versatile Video Coding
Approximate Hardware Architecture for Interpolation Filter of Versatile Video Coding Open
The new Versatile Video Coding (VVC) standard was recently developed to improve compression efficiency of previous video coding standards and to support new applications. This was achieved at the cost of an increase in the computational co…
View article: Quality and Complexity Assessment of Learning-Based Image Compression\n Solutions
Quality and Complexity Assessment of Learning-Based Image Compression\n Solutions Open
This work presents an analysis of state-of-the-art learning-based image\ncompression techniques. We compare 8 models available in the Tensorflow\nCompression package in terms of visual quality metrics and processing time,\nusing the KODAK …
View article: Relying on a Rate Constraint to Reduce Motion Estimation Complexity
Relying on a Rate Constraint to Reduce Motion Estimation Complexity Open
This paper proposes a rate-based candidate elimination strategy for Motion\nEstimation, which is considered one of the main sources of encoder complexity.\nWe build from findings of previous works that show that selected motion vectors\nar…
View article: Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization Open
Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is completely-specified, the implementation accurately represen…
View article: EDAS2020: IEEE CASS/CEDA Seasonal School on Electronic Design Automation [CAS Society News]
EDAS2020: IEEE CASS/CEDA Seasonal School on Electronic Design Automation [CAS Society News] Open
Presents information on the IEEE CASS/CEDA Seasonal School on Electronic Design Automation.
View article: Logic Synthesis Meets Machine Learning: Trading Exactness for\n Generalization
Logic Synthesis Meets Machine Learning: Trading Exactness for\n Generalization Open
Logic synthesis is a fundamental step in hardware design whose goal is to\nfind structural representations of Boolean functions while minimizing delay and\narea. If the function is completely-specified, the implementation accurately\nrepre…
View article: Direct and Semi-Direct Frame Partitioning Mapping for Computation and Energy-Aware HEVC Transrating
Direct and Semi-Direct Frame Partitioning Mapping for Computation and Energy-Aware HEVC Transrating Open
The most common operation to maintain various versions of the same video sequence under different bitrates in live and streaming video applications is video transrating. The typical transrating operation is comprised of a decoding and a co…
View article: Exploring Absolute Differences Arithmetic Operators for Power and Area-Efficient SAD Hardware Architectures
Exploring Absolute Differences Arithmetic Operators for Power and Area-Efficient SAD Hardware Architectures Open
Managing the energy requirements of video encoders has been an important research topic throughout the latest years, given the limited resources of battery-powered systems. Sum of Absolute Differences (SAD) stands out among the most costly…
View article: Machine learning mode decision for complexity reduction and scaling in video applications
Machine learning mode decision for complexity reduction and scaling in video applications Open
The recent innovations in Machine Learning techniques have led to a large utilization of intelligent models to solve complex problems that are especially hard to compute with traditional data structures and algorithms. In particular, the c…