Abstract: The subject matter herein provides a method, apparatus and computer program product that combines, in one intuitive interface, visualization user interfaces (UIs) as used for descriptive analytics, with workflow UIs as used for predictive analytics. These interfaces provide a visual workspace front-end. The workspace is coupled to a back-end that comprises a data processing engine that combines progressive computation, approximate query processing, and sampling, together with a focus on supporting user-defined operations, to drive the front-end efficiently and in real-time. The processing engine achieves rapid responsiveness through progressive sampling, quickly returning an initial answer, typically on a random sample of data, before continuing to refine that answer in the background. In this manner, any operation carried out in the platform immediately provides a visual response, regardless of the underlying complexity of the operation or data size.

Abstract: The subject matter herein provides a method, apparatus and computer program product that combines, in one intuitive interface, visualization user interfaces (UIs) as used for descriptive analytics, with workflow UIs as used for predictive analytics. These interfaces provide a visual workspace front-end. The workspace is coupled to a back-end that comprises a data processing engine that combines progressive computation, approximate query processing, and sampling, together with a focus on supporting user-defined operations, to drive the front-end efficiently and in real-time. The processing engine achieves rapid responsiveness through progressive sampling, quickly returning an initial answer, typically on a random sample of data, before continuing to refine that answer in the background. In this manner, any operation carried out in the platform immediately provides a visual response, regardless of the underlying complexity of the operation or data size.

Abstract: The subject matter herein provides a method, apparatus and computer program product that combines, in one intuitive interface, visualization user interfaces (UIs) as used for descriptive analytics, with workflow UIs as used for predictive analytics. These interfaces provide a visual workspace front-end. The workspace is coupled to a back-end that comprises a data processing engine that combines progressive computation, approximate query processing, and sampling, together with a focus on supporting user-defined operations, to drive the front-end efficiently and in real-time. The processing engine achieves rapid responsiveness through progressive sampling, quickly returning an initial answer, typically on a random sample of data, before continuing to refine that answer in the background. In this manner, any operation carried out in the platform immediately provides a visual response, regardless of the underlying complexity of the operation or data size.

Abstract: The present disclosure relates to a video monitoring method, a video monitoring system and a computer program product. The video monitoring method comprises: obtaining video data collected by a video data collecting apparatus; and based on pre-set scene information and the video data, performing determination and statistics of monitored objects in a scene to be monitored corresponding to the scene information.

Abstract: The present disclosure relates to a video monitoring method based on a depth video, a video monitoring system and a computer program product. The video monitoring method comprises: obtaining video data collected by a video collecting apparatus; determining an object as a monitoring target based on the video data; and extracting feature information of the object, wherein the video data is video data containing depth information.

Abstract: The present disclosure relates to a video monitoring method based on a depth video, a video monitoring system and a computer program product. The video monitoring method comprises: obtaining video data collected by a video collecting apparatus; determining an object as a monitoring target based on the video data; and extracting feature information of the object, wherein the video data is video data containing depth information.

Abstract: The present disclosure relates to a video monitoring method, a video monitoring system and a computer program product. The video monitoring method comprises: obtaining video data collected by a video data collecting apparatus; and based on pre-set scene information and the video data, performing determination and statistics of monitored objects in a scene to be monitored corresponding to the scene information.