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Video cover selection
Through the understanding of video, image and other content, and from the perspective of image clarity, composition aesthetics and excellence, based on in-depth learning, automatically capture wonderful clips or single pictures in the video as video covers, so as to improve the click rate and user experience of the video
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Function introduction
Static Cover
Through the understanding of video, image and other contents, the frame with the highest comprehensive score is selected as the cover picture from the aspects of image clarity, composition aesthetics and brilliance.
GIF cover
Analyze each segment from multiple dimensions such as subject, aesthetics, quality, and brilliance, and select the best content to produce GIF maps.
Cover video
Score multiple clips of the video comprehensively, and output the best clip as the cover video.
Application scenarios
Video recommendation
Video Creation
Video recommendation
Intelligent extraction of wonderful covers for long and short videos in the platform, increase the click and exposure of content, improve user activity, and also bring users a better video viewing experience.
Cooperation cases
CCTV Network
Product advantages
First in the industry
The industry's pioneering technology selects high-quality, wonderful and representative covers for videos based on content understanding.
High accuracy
Apply multi-dimensional AI technology and video content understanding technology to output highly accurate video covers.
Efficient and easy to use
It supports two service modes of public cloud online invocation and local deployment, and provides standardized APIs for rapid docking.
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Media content analysis
Use AI technologies such as vision, voice and knowledge mapping to conduct structural analysis on videos and pictures, output content pan tags, help the platform achieve personalized content recommendation, and improve user retrieval experience.
Multimodal media retrieval
The multimodal search and duplication checking capability mainly includes the functions of searching for video by video, searching for video by image, and searching for image by image to help enterprises improve the retrieval experience and efficiency of users, maintain the platform content ecology, and explore new business growth points.
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique
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Scenario application
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