Company Filing History:
Years Active: 2021
Title: Zou Longhao - Innovator in Mulsemedia Technology
Introduction
Zou Longhao is a prominent inventor based in Dublin, Ireland. He has made significant contributions to the field of multimedia technology, particularly in the area of adaptive streaming solutions. His innovative work focuses on enhancing user experience through the integration of multiple sensory components.
Latest Patents
Zou Longhao holds a patent for a "Method and system for encoding and decoding mulsemedia streams." This invention provides a Dynamic Adaptive Streaming over HTTP (DASH)-based Adaptive Rich Media Delivery Solution (DASH-ARM). The system performs adaptive delivery of mulsemedia content, improving perceived Quality of Experience (QoE) levels and enhancing the user's sense of reality. DASH-ARM dynamically adjusts various sensorial content characteristics, balancing video quality with the presence of diverse sensory components such as haptic feedback, olfaction, and wind. This trade-off is based on the understanding that other sensory components can mask potential audio and video quality variations. The system is complemented by an adaptive multi-sensory media stream that synchronizes at the user device, delivering a rich array of sensory stimuli.
Career Highlights
Zou Longhao is affiliated with Dublin City University, where he continues to advance his research and development in multimedia technologies. His work has garnered attention for its innovative approach to enhancing user engagement through sensory integration.
Collaborations
Zou collaborates with notable colleagues, including Bi Ting and Gabriel-Miro Muntean. Their combined expertise contributes to the advancement of mulsemedia technologies and the exploration of new applications in this field.
Conclusion
Zou Longhao's contributions to the field of multimedia technology, particularly through his innovative patent, demonstrate his commitment to enhancing user experiences. His work at Dublin City University and collaborations with esteemed colleagues position him as a key figure in the evolution of adaptive streaming solutions.