Abstract: Estimating and determining causes of video artifacts and video source delivery issues is conducted by a hybrid approach utilizing both video coding layer with DCT information as well as pixel domain information. Coded syntax elements and data as well as sample information in the compressed frequency domain of the video coding layer is analyzed in real time and parallel image analysis algorithms are performed on pixel samples on the GPU core. Computed values from the video coding layer and the image layer are combined to deduce cause of the video artifact and video source delivery issues.

Abstract: A method to determine real time image complexity in video streaming, IPTV and broadcast applications using a statistical model representing channel bandwidth variation and image complexity that considers scene content changes. Available channel bandwidth is distributed unevenly among multiple video streams in proportion to bandwidth variation and image complexity of the broadcast video stream. The distribution of available channel bandwidth is determined based upon an image complexity factor of each video stream as determined from probability matrices considering bandwidth variations and image complexity.

Abstract: A method for determining spatial and temporal loss in a packet based video broadcast system in an encrypted environment involves measuring video coding layer information at an unencrypted head end of a video stream and network layer information at an encrypted downstream end of the same video stream. Video coding layer information is correlated with network layer information having a corresponding time stamp to compute the spatial and temporal loss. The video coding layer and network layer information is taken from discrete segments of the video stream including access units, slices or macroblocks. Impairments in the video stream are determined using the computed spatial and temporal loss.

Abstract: A method to determine real time image complexity in video streaming, IPTV and broadcast applications using a statistical model representing channel bandwidth variation and image complexity that considers scene content changes. Available channel bandwidth is distributed unevenly among multiple video streams in proportion to bandwidth variation and image complexity of the broadcast video stream. The distribution of available channel bandwidth is determined based upon an image complexity factor of each video stream as determined from probability matrices considering bandwidth variations and image complexity.

Abstract: A method to determine real time image complexity in video streaming, IPTV and broadcast applications using a statistical model representing channel bandwidth variation and image complexity that considers scene content changes. Available channel bandwidth is distributed unevenly among multiple video streams in proportion to bandwidth variation and image complexity of the broadcast video stream. The distribution of available channel bandwidth is determined based upon an image complexity factor of each video stream as determined from probability matrices considering bandwidth variations and image complexity.

Abstract: A method for determining spatial and temporal loss in a packet based video broadcast system in an encrypted environment involves measuring video coding layer information at an unencrypted head end of a video stream and network layer information at an encrypted downstream end of the same video stream. Video coding layer information is correlated with network layer information having a corresponding time stamp to compute the spatial and temporal loss. The video coding layer and network layer information is taken from discrete segments of the video stream including access units, slices or macroblocks. Impairments in the video stream are determined using the computed spatial and temporal loss.