Abstract: A display based keyboard is described herein. The display based keyboard includes a bi-stable segmented-based display, a master controller, and a display driver. The bi-stable segmented-based display may include a front barrier layer, a top plane layer, a display technology specific layer, a back plane layer, and a rear barrier layer.

Abstract: Systems and methods for converting multi-focus image data into a compressed video format. Multi-focus image data of a scene may be sampled to generate a stack of images spanning multiple focal depths. Each image focal distance is mapped to a time stamp and a video encoder is employed to generate a compressed video stream of scene information. In further embodiments, the video encoded scene information is decoded and frames from the stream selected for display based on the focal distance-time stamp mapping. In further embodiments, multi-focus video data is encoded with consecutive frames spanning different focal distances defining a Group of Pictures (GOP), and/or spanning different hierarchical layers.

Abstract: A system, article, and method of measuring on-screen transitions to determine image processing performance.

Abstract: Video stabilization is described that is assisted by motion vectors. In one example global motion is estimated using global motion vectors in a compressed video stream. An object of interest is detected in the compressed video stream and motion of the object of interest is tracked in the compressed video stream using object motion vectors. Frames of the compressed video stream are adjusted to reduce motion of the object of interest using the object motion vectors.

Abstract: A display based keyboard is described herein. The display based keyboard includes a bi-stable segmented-based display, a master controller, and a display driver. The bi-stable segmented-based display may include a front barrier layer, a top plane layer, a display technology specific layer, a back plane layer, and a rear barrier layer.

Abstract: Techniques are provided for tracking objects in an encoded video stream based on data directly extracted from the video stream, thus eliminating any need for the stream to be fully or partially decoded. Extracted motion vector and DC coefficient data can be used to provide a rough estimation of which macro-blocks are be associated with a background motion model and which macro-blocks correspond to a foreground object which is moving with respect to the background motion model. Macro-blocks which are associated with a moving foreground object can be grouped based on connectivity and a similarity measure derived from the extracted DC coefficient data. The grouped macro-blocks can be tracked from frame to frame to identify and eliminate groups having only negligible motion. The resulting validated macro-block groups will correspond to a rough object mask associated with a moving region in the analyzed frame.

Abstract: Systems and methods for converting multi-focus image data into a compressed video format. Multi-focus image data of a scene may be sampled to generate a stack of images spanning multiple focal depths. Each image focal distance is mapped to a time stamp and a video encoder is employed to generate a compressed video stream of scene information. In further embodiments, the video encoded scene information is decoded and frames from the stream selected for display based on the focal distance-time stamp mapping. In further embodiments, multi-focus video data is encoded with consecutive frames spanning different focal distances defining a Group of Pictures (GOP), and/or spanning different hierarchical layers.

Abstract: Techniques are provided for tracking objects in an encoded video stream based on data directly extracted from the video stream, thus eliminating any need for the stream to be fully or partially decoded. Extracted motion vector and DC coefficient data can be used to provide a rough estimation of which macro-blocks are be associated with a background motion model and which macro-blocks correspond to a foreground object which is moving with respect to the background motion model. Macro-blocks which are associated with a moving foreground object can be grouped based on connectivity and a similarity measure derived from the extracted DC coefficient data. The grouped macro-blocks can be tracked from frame to frame to identify and eliminate groups having only negligible motion. The resulting validated macro-block groups will correspond to a rough object mask associated with a moving region in the analyzed frame.

Abstract: A display based keyboard is described herein. The display based keyboard includes a bi-stable segmented-based display, a master controller, and a display driver. The bi-stable segmented-based display may include a front barrier layer, a top plane layer, a display technology specific layer, a back plane layer, and a rear barrier layer.