Dialogic Corporation

Dialogic (US) Inc.

Ran Ding

Jeffrey Adam Bloom

Dekun Zou

Kyeong Ho Yang

Sitaram Bhagavathy

Beibei Wang

Tao Liu

Niranjan Narvekar

Glenn Lawrence Cash

Ramachandran Ramani

Systems and methods of measuring a temporal offset between audio content and video content that employ audio fingerprints from an audio signal in the audio content, and video fingerprints from video frames in the video content. The systems obtain reference audio and video fingerprints prior to transmission of video over a media channel, and obtain target audio and video fingerprints subsequent to transmission of the video over the media channel. Each fingerprint has an associated time stamp. Using the reference and target audio fingerprints and their associated time stamps, the systems determine an audio time stamp offset. Using the reference and target video fingerprints and their associated time stamps, the systems determine a video time stamp offset. Using the audio and video time stamp offsets, the systems determine a temporal offset between the video content and the audio content introduced by the media channel.

Audio video offset detector

Systems and methods of perceptual quality monitoring of video information, communications, and entertainment that can estimate the perceptual quality of video with high accuracy, and can be used to produce quality scores that better correlate with subjective quality scores of an end user. The systems and methods of perceptual quality monitoring of video can generate, from an encoded input video bitstream, estimates of one or more quality parameters relating to the video, such as the coding bit rate parameter, the video frame rate parameter, and the packet loss rate parameter, and provide these video quality parameter estimates to a predetermined video quality estimation model. Because the estimates of the video quality parameters are generated from the encoded input video bitstream as it is being received, the systems and methods are suitable for use as QoE monitoring tools.

Video quality monitoring

Systems and methods of transcoding video bitstreams that employ look-ahead approaches to enhance the overall perceptual quality of transcoded video information, communications, and entertainment delivered to an end user. The disclosed systems and methods of transcoding video bitstreams take into account the scene characteristics and the local coding complexity of video frames in a video sequence before performing bit allocations for the video frames, thereby significantly improving the perceptual quality of transcoded video delivered to the end user.

Rate control with look-ahead for video transcoding

A video transcoding system and method employing an improved rate control algorithm. A plurality of frames in an input video bitstream are received by the system, in which each frame is in a first coding format. Each frame in the input bitstream is decoded, and complexity information indicating the complexity of the frame after decoding is obtained. An estimated number of bits to allocate for the respective frame is calculated. Using a rate estimation model that employs the complexity information for the respective frame, a picture cost for the frame is calculated based on the estimated number of bits allocated to encode the frame, and a parameter of the rate estimation model. A target cost for the respective frame is calculated based at least in part on the picture cost and the complexity information for the frame. A quantization parameter (QP) is calculated that, when used to encode the respective frame in a second coding format, would generate an encoded frame having an actual cost approximately equal to the target cost. The respective frame is encoded using the calculated QP, and the frames encoded in the second coding format are provided in an output video bitstream.

Bitrate control algorithm for video transcoding systems

Systems and methods of objective video quality measurement that employ a reduced-reference approach to video quality measurement. Such systems and methods of objective video quality measurement can extract information pertaining to one or more features of a target video whose perceptual quality is to be measured, extract information pertaining to one or more features of a reference video, and employ one or more prediction functions involving the target features and the reference features to provide a measurement of the perceptual quality of the target video.

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Eatontown, NJ, United States of America

Ran Ding