Technical analysis of the platform's functional system
Memories.ai has built a complete video intelligent processing function matrix: at the content retrieval level, its semantic search technology adopts Natural Language Processing (NLP) algorithms, and it can understand complex queries such as "interactive scenes of the demonstration session"; at the structured processing level, the scene detection function utilizes computer vision to automatically classify different shots; the detection accuracy exceeds 90%; at the content refinement level, the summary generation module adopts the attention mechanism to extract key frames and dialogue points from the video. In terms of structured processing, the scene detection function uses computer vision technology to automatically classify different shots, with a detection accuracy rate of more than 90%; in terms of content refinement, the summary generation module adopts the attention mechanism to extract key frames and dialog points from the video.
Particularly noteworthy is its innovative conversational editing feature, which allows users to complete complex edits through natural commands such as "delete all blurred images". These features, coupled with the enterprise-class API interface, enable the platform to meet the simple needs of individual users as well as support the deployment of enterprise-class video analytics applications.
This answer comes from the articleMemories.ai: an AI visual memory tool for analyzing video contentThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil