Video Semantics
Video Semantics provides real-time, intelligent segmentation and tagging of video content. It uses patent-pending machine learning and natural language processing to identify temporal segments and assign contextual tags. The core mechanism discovers contextually coherent video segments (CCVS) and labels each with keywords describing the topic. This enables applications in video indexing, search, and contextual media delivery for media teams and content platforms. The platform is a B2B software solution aimed at scalable video asset monetization and cost reduction.
Video Semantics
Video Semantics provides real-time, intelligent segmentation and tagging of video content. It uses patent-pending machine learning and natural language processing to identify temporal segments and assign contextual tags. The core mechanism discovers contextually coherent video segments (CCVS) and labels each with keywords describing the topic. This enables applications in video indexing, search, and contextual media delivery for media teams and content platforms. The platform is a B2B software solution aimed at scalable video asset monetization and cost reduction.