Abstract: A system and a method for detecting a simulated Emergency Alert Signal (EAS) are disclosed. The method includes detecting, by a first detector, one or more tones in a plurality of audio frames. Further, the method includes detecting, by a second detector, one or more beeps in the plurality of audio frames. Thereafter, the method includes detecting, by a third detector, at least one emergency word in the plurality of audio frames based at least on the detected one or more tones or the detected one or more beeps, and thereby detecting the simulated EAS.

Abstract: A system and a method for adjusting luminance flashes in a video stream are disclosed. The method includes identifying a sequence of frames, having the luminance flashes, from the video stream. The sequence of frames is extended at both sides (start and end) based on a predefined threshold. The method further comprises dividing an extended sequence of frames into at least three segments. Further, the method includes determining a correction factor and a correction constant for each of the at least three segments. Thereafter, the method includes modifying luminance values of pixels of each of the at least three segments based on the correction factor and the correction constant, thereby adjusting the luminance flashes in the video stream.

Abstract: A system and a method for detecting presence of a living hold in a video stream are disclosed. The method comprises pre-processing N consecutive frames for eliminating noise. An edge score may be calculated for the N consecutive frames, and a clip threshold primary and a clip threshold secondary may be defined. The method further comprises identifying primary edges and secondary edges in the N consecutive frames. Successively, a percentage of fixed primary edges and percentage of fixed secondary edges may be determined. Presence of the living hold may be confirmed based on the value of the percentage of fixed primary edges and the percentage of fixed secondary edges.

Abstract: A method and system for detection of artifacts in a video after application of an error concealment strategy by a decoder is disclosed. An absolute difference image is determined by subtraction of a current image and a previously decoded image. A threshold marked buffer is determined to replace the pixel values of the absolute difference image with a first pixel value or a second pixel value, based on comparison of pixel values with a first predefined threshold. A candidate region is determined by determining a pair of edges of the threshold marked buffer having length above a second predefined threshold, distance between them above a third predefined threshold, and pixel values between them in the absolute difference image, less than a fourth predefined threshold. Validation of candidate region is based on comparison of characteristics of the candidate region with characteristics of the current image and/or previously decoded images.