The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 31, 2004
Filed:
Jan. 18, 2000
Glenn Arthur Reitmeier, Yardley, PA (US);
Robert Norman Hurst, Jr., Hopewell, NJ (US);
Terrence Raymond Smith, Westmont, NJ (US);
Sarnoff Corporation, Princeton, NJ (US);
Abstract
Compression-related information is used to constrain the selection and control of video imagery and content used to produce one or more uncompressed video streams for subsequent compression processing. Rather than taking an uncompressed video stream “as is” for compression processing, characteristics of compression processing are taken into consideration during the video production stage when the uncompressed video stream is generated. Different types of constraints include “intra-frame” constraints that constrain video content within a frame of a video stream, “inter-frame” constraints that constrain video content from frame to frame within a video stream, and “inter-stream” constraints that constrain video content across different video streams. Two or more different constraints and two or more different types of constraints may be applied simultaneously. The compression-related information may be “static” (e.g., in the form of processing “rules” that are applied) or fed back in real time from the video compression stage as “dynamic” information. By taking the subsequent compression processing into account during the video production stage, the resulting uncompressed video stream(s) can be encoded (e.g., to achieve more programs per channel and/or higher quality per program) using computationally inexpensive “objective” video compression algorithms that operate without taking video content into consideration, while still achieving the bit rate and video quality levels achieved using computationally expensive “subjective” video compression algorithms that do take video content into consideration.