Method and system for video coding with noise filtering of foreground object segmentation

Abstract

Techniques are discussed herein for providing mechanisms for coding and transmitting high definition video, e.g., over low bandwidth connections. In particular, foreground-objects are identified as distinct from the background of a scene represented by a plurality of video frames. In identifying foreground-objects, semantically significant and semantically insignificant movement (e.g., non-repetitive versus repetitive movement) is differentiated. For example, the swaying motion of a tree's leaves being minor and repetitive, can be determined to be semantically insignificant and to belong in a scene's background. Processing of the foreground-objects and background proceed at different update rates or frequencies. For example, foreground-objects can be updated 30 or 60 times per second. By contrast, a background is updated less frequently, e.g., once every 10 seconds. In some implementations, if no foreground-objects are identified, no live video is transmitted (e.g., if no motion is detected, static images are not configured to be repeatedly sent). Techniques described herein take advantage of the realization that, in the area of surveillance and wireless communications, updating video of semantically significant movement at a high frame rate is sufficient.

Description

[0001] Related application [0002] This application is a continuation of USSN 13 / 340,564 filed on December 29, 2011 and claims priority, and all teachings thereof are incorporated herein by reference. [0003] This application also relates to two USSN 12 / 982,601 and 12 / 982,602 filed on December 30, 2010, all of which are incorporated herein by reference. Background technique [0004] In recent years, the use of high-definition (HD) video technology has grown exponentially and expanded to many different fields. For example, many movies, TV shows and online video streams are now routinely presented in high definition. HD video technology is also increasingly used in surveillance and wireless communications. For example, HD cameras can provide highly detailed video streams and enable effective monitoring of remote sites such as industrial areas. [0005] HD video and wireless communication applications for surveillance use a lot of bandwidth. However, some remote sites can reliably d...

AI Technical Summary

Problems solved by technology

However, it is difficult to identify whether a potential or candidate object is a real object or noise in the background of the scene

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