Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: Aspects of the present disclosure involve a system comprising a medium storing a program and method for machine-learning based selection of a representative video frame. The program and method provide for receiving a set of video frames; determining a first subset of frames by removing frames outside of an image quality threshold; determining a second subset by removing frames outside of an image stillness threshold; computing feature data for each frame in the second subset; providing, for each frame in the second subset, the feature data to a machine learning model (MLM), the MLM being configured to output a score for each frame in the second subset of frames based on the feature data, the MLM having been trained with a first set of images labeled based on aesthetics, and with a second set of images labeled based on image quality; and selecting a frame based on output scores.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: Aspects of the present disclosure involve a system comprising a medium storing a program and method for machine-learning based selection of a representative video frame. The program and method provide for receiving a set of video frames; determining a first subset of frames by removing frames outside of an image quality threshold; determining a second subset by removing frames outside of an image stillness threshold; computing feature data for each frame in the second subset; providing, for each frame in the second subset, the feature data to a machine learning model (MLM), the MLM being configured to output a score for each frame in the second subset of frames based on the feature data, the MLM having been trained with a first set of images labeled based on aesthetics, and with a second set of images labeled based on image quality; and selecting a frame based on output scores.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: Aspects of the present disclosure involve a system comprising a medium storing a program and method for machine-learning based selection of a representative video frame. The program and method provide for receiving a set of video frames; determining a first subset of frames by removing frames outside of an image quality threshold; determining a second subset by removing frames outside of an image stillness threshold; computing feature data for each frame in the second subset; providing, for each frame in the second subset, the feature data to a machine learning model (MLM), the MLM being configured to output a score for each frame in the second subset of frames based on the feature data, the MLM having been trained with a first set of images labeled based on aesthetics, and with a second set of images labeled based on image quality; and selecting a frame based on output scores.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.