Abstract: Provides error protection coding for video data which has been partitioned into motion data and texture data with error protection for the motion data greater than the error protection for the texture data.

Abstract: A digital still camera with capability for playback of audio and video with synchronization of video by a circular buffer containing frame buffers a with presentation time and display ready register for each frame buffer; a frame in a video sequence is decoded and stored in the next frame buffer when estimated decoding time precedes presentation time.

Abstract: Video compression coding with partitioning of data into motion vector data and texture data with reversible Golomb-Rice type codes for the data. Resynchronization markers separate the data types, and the reversible coding permits decoding in both forward and backward directions to minimize data discarded due to errors.

Abstract: A video compression method and system including object-oriented compression plus error correction using decoder feedback.

Abstract: Video compression coding with partitioning of data into motion vector data and texture data with reversible Golomb-Rice type codes for the data. Resynchronization markers separate the data types, and the reversible coding permits decoding in both forward and backward directions to minimize data discarded due to errors.

Abstract: A method of image decoding of MPEG type signals with the predicated frame (P frame) macroblocks decoded at either full resolution or reduced resolution depending upon assessment of a macroblock. High energy or edge content macroblocks may be decoded at full resolution.

Abstract: A system (10) for compressing video information includes an image detector (12) generating image information regarding a selected scene, a supplemental detector (13, 113, 213) generating supplemental information regarding the scene which is different from the image information, and a processing section (19, 119, 219). The processing section generates compressed information by processing the image information as a function of the supplemental information. The processing section may store the compressed information in a storage section (21), or may transmit the compressed information to a remote device through a communication link (26). The image detector may generate video images of the scene in response to visible light. The supplemental detector may generate images of the scene which represent heat or distance, or may determine the portion of the scene to which an eye (214) of an operator is directed.

Abstract: Video compression coding with partitioning of data into motion vector data and texture data with reversible Golomb-Rice type codes for the data. Resynchronization markers separate the data types, and the reversible coding permits decoding in both forward and backward directions to minimize data discarded due to errors.

Abstract: ABSTRACT OF THE DISCLOSURE Video compression coding with partitioning of data into motion vector data and texture data with reversible Golomb-Rice type codes for the data. Resynchronization markers separate the data types, and the reversible coding permits decoding in both forward and backward directions to minimize data discarded due to errors.

Abstract: A digital still camera with capability for playback of audio and video with synchronization of video by a circular buffer containing frame buffers a with presentation time and display ready register for each frame buffer; a frame in a video sequence is decoded and stored in the next frame buffer when estimated decoding time precedes presentation time.

Abstract: Video compression coding with partitioning of data into motion vector data and texture data with reversible Golomb-Rice type codes for the data. Resynchronization markers separate the data types, and the reversible coding permites decoding in both forward and backward directions to minimize data discarded due to errors.

Abstract: A video compression method and system including object-oriented compression plus error correction using decoder feedback.

Abstract: Video compressed by (macro)block level motion compensation has bitstream with the motion vectors aggregated and separated form the corresponding texture data by a resynchronization word, and a method of generating resynchronization words from variable length code tables which encode the motion vectors or the texture data adjacent to a resynchronization word.

Abstract: A video compression method and system including object-oriented compression with object boundaries described by maps of 2.times.2 (or larger) blocks of pixels in which at least a fraction of the pixels of such blocks are in the object.

Abstract: A video compression method and system including object-oriented compression plus error correction using decoder feedback.

Abstract: A method for inferring precise sensor attitude information in a tracking sensor system begins with storing at a first time a reference image in a memory associated with tracking sensor. Next, the method includes sensing it a second time second image. The sensed image comprises a plurality of sensed feature locations. The method further includes determining the position of the tracking sensor at the second time relative to its position at the first time and then forming a correlation between the sensed feature locations and the predetermined feature locations as a function of the relative position. The method results in an estimation of a tracking sensor pose that is calculated as a function of the correlation. Because the method is primarily computational, implementation requires no new hardware in a tracking sensor system other than that which may be required to provide additional computational capacity.

Abstract: A method for inferring precise sensor attitude information in a tracking sensor system begins with storing at a first time a reference image in a memory associated with tracking sensor. Next, the method includes sensing at a second time a second image. The sensed image comprises a plurality of sensed feature locations. The method further includes determining the position of the tracking sensor at the second time relative to its position at the first time and then forming a correlation between the sensed feature locations and the predetermined feature locations as a function of the relative position. The method results in an estimation of a tracking sensor pose that is calculated as a function of the correlation. Because the method is primarily computational, implementation requires no new hardware in a tracking sensor system other than that which may be required to provide additional computational capacity.

Abstract: A color resolution enhancement method and enhanced color cameras (600) with a single CCD detector (606) having attached color filters (604) and using luminance-based gradient interpolation to fill in color channels. A color camera, includes an image detector, the detector with sets S.sub.1, S.sub.2, . . . S.sub.N of pixels for N, an integer greater than 1, where pixels in the set S.sub.J detect radiation in a corresponding sampled channel C.sub.J for each J in the range 1 to N, a channel reconstructor coupled to an output of the detector. The reconstructor includes a luminance generator which combines the sampled channels C.sub.1, C.sub.2, . . . C.sub.N to a luminance channel, a gradient generator coupled to an output of the luminance generator and which transfers the luminance channel to a gradient channel, and a directional interpolator coupled to an output of the detector and to an output of the gradient generator and which transfers each of the sampled channels C.sub.1, C.sub.2, . . . C.sub.

Abstract: A method of tracking targets across a sequence of images estimates the range of these tracked objects from the camera. The method assumes the motion of the camera between the successive frames is known. The distance from the sensor to the object is assumed to be much larger than the physical dimensions of the object. The method and system make use of the known sensor motion to generate "expected images" that are then used to establish a reliable correspondence and track the targets across the image sequence. The method and system use a mean/energy-normalized area correlation technique to establish inter-frame correspondence. With this correspondence, two new methods can estimate the range of the target from the sensor.