Abstract: A smart soccer goal training system comprises a goal frame structure defining a goal opening, a net assembly attached to the goal frame structure, and a plurality of LED strips integrated into the net assembly and arranged vertically to create illuminated target zones, wherein each LED strip displays visual indicators including different colors and illumination patterns. The system comprises a control unit positioned behind the goal frame structure, including a camera system configured to capture video data of ball movement toward the goal opening, a processing unit configured to analyze the video data to detect ball trajectory and determine ball impact location, and a communication module configured to transmit control signals to the LED strips to control illumination of the target zones based on the detected ball impact location.

Abstract: Systems and methods are provided for reporting advertisement performance at the video level. The video-level reporting system can include an ad server receiving requests from a user to view a video. The ad server transfers the request to an application programming interface for processing the request. The video-level reporting system can also include a storage and reporting module that stores the requested video and a corresponding advertisement, a video capture module for analyzing the user requested video, an analytics module for identifying user events and analyzing the advertisement performance based on the events, and an indexing module for indexing the requested videos.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for defining video advertising channels. A set of requirements is received for an advertising channel. A training set of video content is identified based on the set of requirements. A set of baseline categorizations is received that includes, for each video in the training set of video content, a categorization for each requirement from the set of requirements. A set of experiments is calculated based on the training set of video content and the set of baseline categorizations to determine video content for the advertising channel.