From PR Newswire

Tencent Cloud once again recognized as a representative vendor for video platform services in the Gartner Market Guide

en.prnasia.com |  Updated:2025-04-01

Tencent Cloud, the cloud business of global technology company Tencent, today announced that it is once again recognized as a Representative Vendor in the newly published Gartner Market Guide for Video Platform Services report.

Recently, it was also named as a Representative Vendor in the Gartner® report titled "Competitive Landscape: Video Platform Services". This repeated recognition underscores Tencent Cloud's leadership in audio and video technology, its robust product portfolio, and its global service experience, solidifying its strong competitiveness in the global market.

Tencent Cloud leverages its cutting-edge audio and video technology capabilities to help clients overcome their challenges, alongside its highly established and influential hybrid cloud deployment capabilities. Based on AI technologies such as large language models (LLMs) and digital image processing, Tencent Cloud enables the generation and enhancement of audio and video content, covering the entire production chain and multiple scenarios of audio and video content creation.

Tencent Cloud's MPaaS offers a comprehensive suite of capabilities, including Media Processing Service (MPS), Cloud Streaming Services (CSS), Video on Demand (VOD), and Live Event Broadcasting (LEB), continuously driving digital transformation for industries worldwide.

Deep Integration of AIGC Technology for Smarter Audio and Video Experiences

With rapid advancements in large AI models, Tencent Cloud has actively integrated AIGC technologies—such as large language models (LLMs), audio and video generation, and multimodal understanding—into its media intelligence products.

These innovations are now widely applied across scenarios like short drama globalization, education, live streaming, sports events, and entertainment. Tencent Cloud also integrates media intelligence capabilities into AI model training and generation workflows to enhance model performance.

For example, in short drama globalization, Tencent Cloud's one-stop solution offers smart subtitle extraction, translation, original subtitle removal, translated subtitle embedding, voice cloning, and video synthesis to enable cost-effective global distribution.

In educational, news, and speech-related video scenarios, Tencent Cloud leverages its Automatic Speech Recognition (ASR) and AI technologies to extract and summarize video content, allowing users to grasp key points without manual scrubbing. The solution also supports offline and live segmentation, auto-generating section summaries and keywords to help users quickly locate desired clips, improving efficiency.

For live streaming, Tencent Cloud's media intelligence products provide real-time subtitles and translation in over 100 languages, breaking language barriers for global audiences—even allowing non-Chinese speakers to understand phrases such as "123, link up!"

In sports, variety shows, and film/TV production, Tencent Cloud's Region-Of-Interest (ROI) intelligent recognition technology identifies visual content and key elements (e.g., faces, game characters, hosts) in real time, transmitting region-of-interest (ROI) data alongside encoded video to playback devices. This enables precise highlight clipping, smart anti-blocking for bullet chats, background blurring, and adaptive vertical cropping of horizontal videos for multi-device compatibility.

Notably, Tencent Cloud's audio and video expertise also enhances large model training and generation. During the data cleaning phase of model training, the quality of training data directly affects the clarity and stability of the generated videos. Tencent Cloud's media quality inspection capabilities can automatically remove training materials with format errors or image quality defects, improving the overall quality of training videos.

In video generation, outputting high-resolution and high-frame-rate video content has long faced technical challenges such as high computational power consumption and decreased model stability. Tencent Cloud's MPS (Media Processing Service) image quality enhancement capability, based on an improved Stable Diffusion architecture, optimizes the performance of distillation algorithms. It supports enhancing videos from 480P 30fps to 4K120fps, significantly reducing the cost of generating ultra-high-definition videos while improving their clarity and stability. Currently, this capability has been implemented in several large model generation products, providing stronger technical support for AI content creation and helping various enterprises optimize video content efficiently.

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