Abstract: Embodiments of the present invention include a set of processes and systems for implementing a forward weight-adaptive over-complete transform of an image/video frame, an inverse weight-adaptive over-complete transform of an image/video frame, and fast and low-memory processes for performing the forward weight-adaptive over-complete transform, processing coefficients in the transform domain and performing the inverse weight-adaptive over-complete transform simultaneously.

Abstract: A method and apparatus are disclosed herein for reducing at least one or both of flicker and noise in video sequences. In one embodiment, the method comprises receiving an input video and performing operations to reduce one or both of noise and flicker in the input video using spatial and temporal processing.

Abstract: Video-coded information is transmitted over a network at a priority level that is determined based on feedback from the network. In an embodiment, the feedback comprises a response to a request for information on whether the network currently has the available capacity to transmit additional high priority traffic. In an embodiment, a candidate base layer frame is transmitted over a network as a base layer frame if permission to send high priority data was granted and is transmitted over the network as an enhancement layer frame if permission to send high priority data was denied. In a further embodiment, the candidate base layer frame is deleted if permission to send high priority data was denied.

Abstract: Methods and apparatuses to model the relation between the delay samples and congestion losses and to protect media flows against congestion losses are disclosed. In one embodiment, the method comprises measuring congestion by delay samples, and performing a dynamic FEC algorithm that uses convex hull clustering for loss-event classification, including determining an FEC rate according to the loss-event classification. In another embodiment, the method comprises measuring congestion by delay samples, modeling loss events associated with the delay samples by grouping loss events as unions of convex hulls to identify a period of potentially increased congestion, dynamically changing the FEC rate based on the modeling, and applying FEC protection to the media flow during the period based on the FEC rate.

Abstract: Video-coded information is transmitted over a network at a priority level that is determined based on feedback from the network. In an embodiment, the feedback comprises a response to a request for information on whether the network currently has the available capacity to transmit additional high priority traffic. In an embodiment, a candidate base layer frame is transmitted over the network as a base layer frame if permission to send high priority data was granted and is transmitted over the network as an enhancement layer frame if permission to send high priority data was denied. In a further embodiment, the candidate base layer frame is deleted if permission to send high priority data was denied.

Abstract: Methods and apparatuses to model the relation between the delay samples and congestion losses and to protect media flows against congestion losses are disclosed. In one embodiment, the method comprises measuring congestion by delay samples, and performing a dynamic FEC algorithm that uses convex hull clustering for loss-event classification, including determining an FEC rate according to the loss-event classification. In another embodiment, the method comprises measuring congestion by delay samples, modeling loss events associated with the delay samples by grouping loss events as unions of convex hulls to identify a period of potentially increased congestion, dynamically changing the FEC rate based on the modeling, and applying FEC protection to the media flow during the period based on the FEC rate.

Abstract: A method and apparatus is disclosed herein for performing content-based and royalty-based encoding. In one embodiment, the method comprises: selecting one or more encoding tools to encode media based on a royalty cost associated with at least one of the one or more encoding tools and a corresponding decoding tool for each of the one or more encoding tools, decoded media quality that each corresponding decoding tool produces, and one or more transmission bandwidth constraints; encoding the media, in accordance with the media content, using the one or more encoding tools; and transmitting encoded data generated by at least one of the one or more encoding tools.

Abstract: Embodiments of the present invention include a set of processes and systems for implementing a forward weight-adaptive over-complete transform of an image/video frame, an inverse weight-adaptive over-complete transform of an image/video frame, and fast and low-memory processes for performing the forward weight-adaptive over-complete transform, processing coefficients in the transform domain and performing the inverse weight-adaptive over-complete transform simultaneously.

Abstract: A method and apparatus is disclosed herein for reducing at least one of both flicker and noise in video sequences. In one embodiment, the method comprises receiving an input video and performing operations to reduce one or both of noise and flicker in the input video using spatial and temporal processing.

Abstract: A method and apparatus is disclosed herein for performing content-based and royalty-based encoding. In one embodiment, the method comprises: selecting one or more encoding tools to encode media based on a royalty cost associated with at least one of the one or more encoding tools and a corresponding decoding tool for each of the one or more encoding tools, decoded media quality that each corresponding decoding tool produces, and one or more transmission bandwidth constraints; encoding the media, in accordance with the media content, using the one or more encoding tools; and transmitting encoded data generated by at least one of the one or more encoding tools.

Abstract: Video-coded information is transmitted over a network at a priority level that is determined based on feedback from the network. In an embodiment, the feedback comprises a response to a request for information on whether the network currently has the available capacity to transmit additional high priority traffic. In an embodiment, a candidate base layer frame is transmitted over the network as a base layer frame if permission to send high priority data was granted and is transmitted over the network as an enhancement layer frame if permission to send high priority data was denied. In a further embodiment, the a candidate base layer frame deleted if permission to send high priority data was denied.

Abstract: An imaging system apparatus and operating method thereof utilize a volumetric resampling technique with interpolation to determine sample point values on user-defined paths traced through a volumetric image comprising a group of predefined data values, which are themselves samples of a continuous volumetric object. Data values to be displayed are determined from the sample point values using user-selected interpolation and visualization operating modes.

Abstract: A facility is provided for greatly enhancing the rate at which volumetric data is processed by display on a two-dimensional display. Specifically, the volumetric data is first divided into a predetermined number of sub-blocks, in which a predetermined voxel in each sub-block is then transformed into an associated picture element. The sub-blocks and their associated pixels are then supplied to respective processors forming an array of processors. Each processor then completes the transformation of its sub-block as a function of the coordinates of the associated picture element and respective incremental vectors.