Abstract: An automatic tracking camera system includes: a rotating unit for panning and tilting an image pickup unit including a lens apparatus and an image pickup apparatus; a tracking object detector; a motion vector detector for detecting a motion vector of the object to be tracked; a capture position setting unit for setting a capture position of the object to be tracked in the picked up image; and a controller for controlling drive of the rotating unit. The controller controls the rotating unit in a capture mode to capture the object to be tracked at the capture position based on the motion vector detected by the motion vector detector after the tracking object detector has detected the object to be tracked in the picked up image, and a maintenance mode to continuously capture the object to be tracked at the capture position after the capture mode.

Abstract: A system is disclosed for controlling operation of an electronic device, such as a TV. The system includes a first sensor located at or near the electronic device and a second sensor spaced apart from the first sensor, wherein the first and second sensors are configured to detect motion of a user within an operating zone associated with the electronic device. A processor is coupled to the electronic device and the first and second sensors, the processor being configured to input a signal from the first and second sensors. Memory is coupled to the processor, the memory comprising a sensing algorithm configured to process the input signal from the first and second sensors and determine the location of the user with respect to the operating zone. The processor is configured to send a control command to the electronic device based on an output of the sensing algorithm.

Abstract: Spatial or temporal interpolation may be performed upon source video content to create interpolated video content. A video signal including the interpolated video content and non-interpolated video content (e.g. the source video content) may be generated. At least one indicator for distinguishing the non-interpolated video content from the interpolated video content may also be generated. The video signal and indicator(s) may be passed from a video source device to a video sink device. The received indicator(s) may be used to distinguish the non-interpolated video content from the interpolated video content in the received video signal. The non-interpolated video content may be used to “redo” the interpolation or may be recorded to a storage medium.

Abstract: This disclosure describes frame interpolation techniques within a wavelet transform coding scheme. The frame interpolation may be used to generate one or more interpolated frames between two successive low frequency frames coded according to the wavelet transform coding scheme. Such interpolation may be useful to increase the frame rate of a multimedia sequence that is coded via wavelet transforms. Also, the techniques may be used to interpolate lost frames, e.g., which may be lost during wireless transmission.

Abstract: The present invention relates to a high-speed motion compensation apparatus and method. The high-speed motion compensation apparatus for H.264/AVC includes a bus interface unit for reading a plurality of word addresses from an external storage device, aligning the reference pixels arranged over the plurality of word addresses, temporarily storing the aligned reference pixels, and sequentially outputting the aligned and temporarily stored reference pixels. A buffer unit temporarily stores overlapping reference pixels, which are repeatedly used to generate the sub-pixels, among the reference pixels output from the bus interface unit. An interpolation unit generates first half pixels, second half pixels, first quarter pixels, and second quarter pixels, using the reference pixels output from the bus interface unit. A chroma filter unit generates chrome pixels using the reference pixels output from the bus interface unit.

Abstract: A method and apparatus are provided whereby the motion between two video fields of opposite parity may be measured so as to discriminate between the presence of motion and lack thereof. The level of motion at a specified position is determined by comparing a first motion value derived from successive fields of opposite parity with a second motion value derived from successive fields of the same parity at the spatial location corresponding to that used to generate the first motion value. This determination is made with one field being common to the first and second motion values, and taking the minimum of the first and second motion values to be the motion value at that position.

Abstract: A method for measuring motion at a horizontal and vertical position between video fields of opposite parity comprising the steps of measuring the signal values of at least two vertically adjacent pixels from a video field of one parity and at least two vertically adjacent pixels from a video field of the opposite parity such that when taken together, the pixels represent contiguous samples of an image at said horizontal and vertical position, and determining whether the signal value of any of the pixels lies between the signal values of adjacent pixels in the field of opposite parity and in response outputting a zero motion value, otherwise, outputting a motion value equal to the lowest absolute difference between any of the pixels and its closest adjacent pixel in the field of opposite parity.

Abstract: An input first video signal is converted by video format conversion into a second video signal to be encoded. The number of effective scanning lines of the second video signal is different from the number of effective scanning lines of the first video signal. The first video signal is further converted into a third video signal for which spatial aliasing noise is suppressed. The motion of each picture carried by the third video signal is estimated to obtain first motion vector data. The motion of the second video signal is searched using the first motion vector data to obtain second motion vector data. The second video signal is then encoded by motion-compensated prediction using the second motion vector data.

Abstract: A method for measuring motion at a horizontal and vertical position between video fields of opposite parity comprising the steps of measuring the signal values of at least two vertically adjacent pixels from a video field of one parity and at least two vertically adjacent pixels from a video field of the opposite parity such that when taken together, the pixels represent contiguous samples of an image at said horizontal and vertical position, and determining whether the signal value of any of the pixels lies between the signal values of adjacent pixels in the field of opposite parity and in response outputting a zero motion value, otherwise, outputting a motion value equal to the lowest absolute difference between any of the pixels and its closest adjacent pixel in the field of opposite parity.