This paper proposes an objective film grain similarity model using a data-driven approach, which aligns closely with human perception, demonstrating a high correlation with subjective studies.
This study describes the development and implementation of an AI-based natural voice synthesis and automated mixing workflow for audio description (AD) in Brazilian television drama content, with a real demonstration case of success.
This study contributes to advancing the understanding and implementation of film grain handling techniques in VVC open-source implementations, with implications for enhancing the viewing experience in multimedia applications.
This paper starts with an overview of the latest VVC adoption and deployment status including an overview and comparison of VVC profiles in major application standards. The paper provides an overview of the MC-IF VVC technical guidelines which document VVC interoperability points adopted across relevant application specifications.
This paper examines the technical details of trials following the evolution from LTE QCI-driven prioritisation and scheduling, through the impact of Radio Resource Scheduling, and the realisation of slicing through the User Equipment Route Selection Policy.
This paper explores architectural strategies, resources allocation guidelines and cloud-native workflows that are time-tested to support mega-scale live streams and examines common failure scenarios and anti-patterns, identifies infrastructure bottlenecks and proposes fallback strategies to enhance resilience and reliability at massive concurrency scales.
This paper demonstrates that our LMM-based approach not only significantly reduces the computational complexity required for sampling based per-title video encoding—by an astounding 13 times—but also maintains the same level of bitrate saving. These findings not only pave the way for more efficient and adaptive video encoding strategies but also highlight the potential of multi-modal models in enhancing multimedia processing tasks.
This paper presents approaches the BBC has been trialling for delivering live events into virtual immersive spaces. Trials are being run to explore the use of low-latency volumetric capture technology of the artists, to allow virtual attendees, through their avatars, to interact with the performer and each other. Other trials are looking at the capture of performers in larger spaces such as stages at a festival, relying on 2/2.5D video approaches.
This paper reviews the history of this standard’s creation, explains its operation principles, and discusses its various features, utilities, and benefits.
This paper offers a comprehensive overview of state-of-the-art volumetric video methods based on neural radiance fields, including their respective advantages and drawbacks.
