Abstract: A measuring method and device based on the second harmonic for the whole area measurement of a wafer comprises three modes: a fixed-point measurement, a scanning measurement, and a combination of the fixed-point measurement and the scanning measurement. The scanning measurement solution measures the entire wafer under the premise of ensuring high measurement efficiency, obtain the position, size and relative density distribution of electrical defects, and achieve locating and checking of abnormal points on the wafer. A new formula system is provided for describing the second harmonic signal, so that the actual measurement results and the theoretical model are unified under the three modes of the fixed-point measurement, the scanning measurement, and the combination of fixed-point measurement and scanning measurement, so that the second harmonic metrology technology is no longer only a qualitative analysis method, but also a quantitative analysis method.

Abstract: The invention discloses a screen splicing system and a video data stream processing method. The system includes: a video acquisition subsystem, configured to acquire an original video data stream, and output the acquired original video data stream to a smooth displaying subsystem after a smooth displaying image processing mode is enabled; the smooth displaying subsystem, connected with the video acquisition subsystem and configured to receive the original video data stream from the video acquisition subsystem, sequentially perform smooth displaying image processing and screen cutting processing on the original video data stream and send the cut video data stream to a screen splicing subsystem; and the screen splicing subsystem, connected with the smooth displaying subsystem and configured to perform splicing processing on the cut video data stream and send the spliced video data stream to a splicing display wall.

Abstract: The invention discloses a screen splicing system and a video data stream processing method. The system includes: a video acquisition subsystem, configured to acquire an original video data stream, and output the acquired original video data stream to a smooth displaying subsystem after a smooth displaying image processing mode is enabled; the smooth displaying subsystem, connected with the video acquisition subsystem and configured to receive the original video data stream from the video acquisition subsystem, sequentially perform smooth displaying image processing and screen cutting processing on the original video data stream and send the cut video data stream to a screen splicing subsystem; and the screen splicing subsystem, connected with the smooth displaying subsystem and configured to perform splicing processing on the cut video data stream and send the spliced video data stream to a splicing display wall.

Abstract: The present invention relates to security video monitoring for and discloses a motion analysis method and a code stream conversion method based on video compression code stream and apparatus thereof. In the invention, a total number of bits or a residual bit number of a macro block in a video I frame is extracted from the video compression code stream; weighted average is performed to the total number of bits or a residual bit number of the macro block whose position corresponds with the current macro block in the latest M frames and a background value is obtained through calculating; a difference value between the total number of bits or the residual bit number of the current macro block and the background value is calculated, and if the difference value is greater than a predetermined first threshold, then a moving object is determined to be detected.

Abstract: The present invention relates to security video monitoring for and discloses a motion analysis method and a code stream conversion method based on video compression code stream and apparatus thereof. In the invention, a total number of bits or a residual bit number of a macro block in a video I frame s extracted from the video compression code stream; weighted average is performed to the total number of bits or a residual bit number of the macro block whose position corresponds with the current macro block in the latest M frames and a background value is obtained through calculating; a difference value between the total number of bits or the residual bit number of the current macro block and the background value is calculated, and if the difference value is greater than a predetermined first threshold, then a moving object is determined to be detected.