Cross-component linear model (CCLM) prediction has been repeatedly proven to be effective in reducing the inter-channel redundancies in video compression. Essentially speaking, the linear model is identically trained by employing accessible luma and chroma reference samples at both encoder and decoder, elevating the level of operational complexity due to the least square regression or max-min based model parameter derivation. In this paper, we investigate the capability of the linear model in the context of sub-sampled based cross-component correlation mining, as a means of significantly releasing the operation burden and facilitating the hardware and software design for both encoder and decoder. In particular, the sub-sampling ratios and positions are elaborately designed by exploiting the spatial correlation and the inter-channel correlation. Extensive experiments verify that the proposed method is characterized by its simplicity in operation and robustness in terms of rate-distortion performance, leading to the adoption by Versatile Video Coding (VVC) standard and the third generation of Audio Video Coding Standard (AVS3).
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/TIP.2021.3104191 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Investigating changes in connected speech in nonfluent/agrammatic primary progressive aphasia following script training.
Cortex
December 2024
Department of Speech, Language and Hearing Sciences, University of Texas at Austin, United States; Department of Neurology, Dell Medical School, University of Texas at Austin, United States.
Script training is a speech-language intervention designed to promote fluent connected speech via repeated rehearsal of functional content. This type of treatment has proven beneficial for individuals with aphasia and apraxia of speech caused by stroke and, more recently, for individuals with primary progressive aphasia (PPA). In the largest study to-date evaluating the efficacy of script training in individuals with nonfluent/agrammatic primary progressive aphasia (nfvPPA; Henry et al.
View Article and Find Full Text PDFPotential use of salivary TNF-α as a vaccine-induced pain biomarker in people with cerebral palsy and communication disorders.
PLoS One
December 2024
Research Institute on Health Sciences (IUNICS-IdISBa), University of the Balearic Islands, Palma de Mallorca, Spain.
Background: Pain in people with cerebral palsy (CP) has been classically underestimated and poorly treated, particularly in individuals with impaired communication skills.
Objective: To analyze changes in different salivary metabolites and pain behavior scales after a painful procedure in adults with CP and adults with typical development.
Methods: Salivary levels of sTNF-α, sIgA, Cortisol, FRAP, ADA and Alpha Amylase, as well as 3 observational pain scales (Wong-Baker, Non-Communicating Adults Pain Checklist and Facial Action Coding System) were assessed before and after an intramuscular injection in 30 Individuals with CP and 30 healthy controls.
Behavior Coding of Adolescent and Therapy Dog Interactions During a Social Stress Task.
Vet Sci
December 2024
Center for Animals and Public Policy, Cummings School of Veterinary Medicine, Tufts University, 200 Westboro Rd., North Grafton, MA 01536, USA.
Youth mental health interventions incorporating trained therapy animals are increasingly popular, but more research is needed to understand the specific interactive behaviors between participants and therapy dogs. Understanding the role of these interactive behaviors is important for supporting both intervention efficacy and animal welfare and well-being. The goal of this study was to develop ethograms to assess interactive behaviors (including both affiliative and stress-related behaviors) of participants and therapy dogs during a social stress task, explore the relationship between human and dog behaviors, and assess how these behaviors may vary between experimental conditions with varying levels of physical contact with the therapy dog.
View Article and Find Full Text PDF#Opioids: A Mixed Methods Examination of Top Opioid-Related Content on TikTok.
J Stud Alcohol Drugs
December 2024
Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI.
Objective: Despite an abundance of public discourse about the opioid crisis in the media, there is little research characterizing opioid-related content on TikTok, a popular video-based social media platform. This study sought to examine how opioids are portrayed on TikTok.
Methods: This study used mixed-methods to analyze top opioid-related posts marked with the hashtag "#opioids" collected in May 2023.
The Many Faces of Good Operating Room Supervision: Supervisors' and Residents' Perspectives After Operating Together.
J Surg Educ
December 2024
Center for Language and Cognition Groningen, University of Groningen, Groningen, The Netherlands.
Objective: Effective operating room (OR) learning requires surgical and surgical-educational skills. Current insights into educational skills of surgical educators are derived from general perceptions of supervisors and residents via survey and interview studies. This study aims to provide insight into what educators and residents perceive as good OR supervision behavior based on actual day-to-day collaboration.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!