18740859. KALMAN FILTER BASED PREDICTIVE JITTER BUFFER ADAPTATION FOR SMOOTH LIVE VIDEO STREAMING (Tata Consultancy Services Limited)
Contents
KALMAN FILTER BASED PREDICTIVE JITTER BUFFER ADAPTATION FOR SMOOTH LIVE VIDEO STREAMING
Organization Name
Tata Consultancy Services Limited
Inventor(s)
Abhijan Bhattacharyya of Kolkata (IN)
Madhurima Ganguly of Bangalore (IN)
Suraj Kumar Mahato of Kolkata (IN)
Balamuralidhar Purushothaman of Bangalore (IN)
KALMAN FILTER BASED PREDICTIVE JITTER BUFFER ADAPTATION FOR SMOOTH LIVE VIDEO STREAMING
This abstract first appeared for US patent application 18740859 titled 'KALMAN FILTER BASED PREDICTIVE JITTER BUFFER ADAPTATION FOR SMOOTH LIVE VIDEO STREAMING
Original Abstract Submitted
This disclosure provides a Kalman filter based predictive jitter buffer adaptation for smooth live video streaming. In the present disclosure, at receiver of a live video steaming system, reassembly of received data packets is performed to reconstruct different types of encoded frames transmitted by a transmitter. The different types of encoded frames are Full encoded frames in basic state and Delta encoded frames. To tackle data packet loss, the receiver is also equipped with a frugal yet efficient loss handling mechanism for both basic and delta frames. To achieve smooth rendering of the live video, the receiver employs a Kalman Filter based Jitter Buffer Adaptation mechanism. The Kalman Filter based Jitter Buffer Adaptation mechanism observes variability in arrival time of the open-loop best-effort traffic and adapts a jitter-buffer based on future end-to-end delay estimates. Thus, smoothness of streaming is preserved at the receiving end augmented with robust loss-resilience.