How Reaction Videos Leverage Cloud Tech: History, Impact, and a Real‑World Demo
This article traces the origins of reaction videos from 1970s Japanese TV to global internet fame, examines their cultural significance, and details a cloud‑based implementation that combines Intel GPUs, Alibaba Cloud services, and AI‑enhanced AR features for interactive streaming.
In February 2021, the "New Content New Interaction" Global Video Cloud Innovation Challenge launched, co‑hosted by Intel and Alibaba Cloud with strategic cooperation from Youku, attracting over 4,600 participants worldwide.
Ancient Yet Trendy “Reaction Video”
Reaction videos, or “反应视频”, capture viewers’ real‑time responses alongside the original content. The format originated in 1970s Japanese variety shows, where a small "wipe" window displayed guests’ facial reactions.
By 2013, the style migrated to the internet, exploding in popularity after the third season of Game of Thrones sparked countless YouTube reaction clips, amassing 110 billion views and 20 million subscribers across reaction channels.
In China, Bilibili became the hub for reaction content, with early creator “蚊叽叽” launching in January 2018 and now boasting 548 k followers.
Why Reaction Videos Matter
Beyond entertainment, reaction videos fulfill viewers’ desire for acknowledgment and sharing. Early video platforms offered only text comments; later, “danmu” (bullet comments) became standard, reflecting a deeper need for communal interaction.
As video‑cloud technology matures, the dynamic, real‑time nature of reaction videos is poised to become a mainstream interactive format, enhancing audience engagement.
Implementing Reaction Videos with Video‑Cloud Tech
During the challenge, participant Liu Shaorong, a novice programmer, built “Watch Together,” an app that lets users invite friends to a shared viewing room for entertainment, sports, or live events, sharing reactions in real time.
Technical choices included Intel Xeon SG1 GPUs, Alibaba Cloud VOD for media management, and Alibaba Cloud audio‑video communication services for stable real‑time calls. Automatic reaction video generation leveraged Intel Media SDK and Intel Quick Sync Video for hardware‑accelerated processing.
To support interactions with strangers, Liu integrated WebGL + DeepLearning to generate AR face filters, combined with Alibaba Cloud audio‑video tech for added fun.
Looking ahead, Liu aims to deepen user belonging by adding features such as beauty filters, voice changing, and diverse AR face effects, further enriching the video experience.
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