Compressed digital video record and playback system

• US 6,011,901 A
• Filed: 11/26/1997
• Issued: 01/04/2000
• Est. Priority Date: 05/18/1995
• Status: Expired due to Fees

• Current Assignee: Timepres Corporation
• Original Assignee: Timepres Corporation
• Inventors: Kirsten, Jeff P.
• Primary Examiner(s): Chevalier, Robert
• Application Number:
  US08/979,506
• Time in Patent Office: 769 Days
• Field of Search: 386/109, 386/111, 386/112, 386/123, 386/124, 386/129, 386/131, 386/68, 386/27, 386/33, 386/37, 386/52, 386/40, 386/46
• US Class Current: 386/226
• CPC Class Codes: G08B 13/19645 Multiple cameras, each having view on one of a plurality of scenes, e.g. multiple cameras for multi-room surveillance or for tracking an object by view hand-over
• CPC Class Codes: G08B 13/19667 Details realated to data compression, encryption or encoding, e.g. resolution modes for reducing data volume to lower transmission bandwidth or memory requirements
• CPC Class Codes: G08B 13/19669 Event triggers storage or change of storage policy
• CPC Class Codes: G08B 13/19673 Addition of time stamp, i.e. time metadata, to video stream
• CPC Class Codes: G08B 13/19676 Temporary storage, e.g. cyclic memory, buffer storage on pre-alarm
• CPC Class Codes: G08B 13/19695 Arrangements wherein non-video detectors start video recording or forwarding but do not generate an alarm themselves
• CPC Class Codes: H04N 19/107 between spatial and temporal predictive coding, e.g. picture refresh
• CPC Class Codes: H04N 19/137 Motion inside a coding unit, e.g. average field, frame or block difference
• CPC Class Codes: H04N 19/14 Coding unit complexity, e.g. amount of activity or edge presence estimation H04N19/146 takes precedence
• CPC Class Codes: H04N 19/149 by estimating the code amount by means of a model, e.g. mathematical model or statistical model
• CPC Class Codes: H04N 19/15 by monitoring actual compressed data size at the memory before deciding storage at the transmission buffer
• CPC Class Codes: H04N 19/152 by measuring the fullness of the transmission buffer
• CPC Class Codes: H04N 19/172 the region being a picture, frame or field
• CPC Class Codes: H04N 19/37 with arrangements for assigning different transmission priorities to video input data or to video coded data
• CPC Class Codes: H04N 19/42 characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation H04N19/635 takes precedence
• CPC Class Codes: H04N 19/436 using parallelised computational arrangements
• CPC Class Codes: H04N 19/503 involving temporal prediction adaptive coding with adaptive selection between spatial and temporal predictive coding H04N19/107; adaptive coding with adaptive selection among a plurality of temporal predictive coding modes H04N19/109
• CPC Class Codes: H04N 19/507 using conditional replenishment
• CPC Class Codes: H04N 19/61 in combination with predictive coding
• CPC Class Codes: H04N 5/765 Interface circuits between an apparatus for recording and another apparatus
• CPC Class Codes: H04N 5/77 : between a recording apparatus and a television camera
• CPC Class Codes: H04N 5/781 : on disks or drums
• CPC Class Codes: H04N 5/85 : on discs or drums
• CPC Class Codes: H04N 7/181 : for receiving images from a plurality of remote sources
• CPC Class Codes: H04N 9/8042 : involving data reduction
• CPC Class Codes: H04N 9/8227 : the additional signal being at least another television signal

Abstract

A record and playback system for video images, especially suited for multi-camera Industrial surveillance. Techniques for acquiring multiple asynchronous camera inputs, compressing video images, and storing digital image data are described. Selective resolution recording improves object discernability without large large increase in data storage. A recording system with automatic data archive that eliminates the need for regular operator attention is disclosed.

Claims

1. A method of recording video images, the method comprising:

providing a stream of video images, the images having an associated two-dimensional frame bounding the corresponding visible extent of the images, the frame being selectively and dynamically divisible into a plurality of two-dimensional frame portions that collectively comprise the frame, each portion having attributes including image resolution;

for at least a first and second number of the video images, digitally storing information corresponding to each frame portion at a selected one of a plurality of image resolutions, the plurality of image resolutions including a first and second image resolution;

for the first number of the video images, establishing the stored image resolution of the frame at a single resolution of the plurality of image resolutions;

monitoring for a predefined trigger event;

defining at least a first and second of the frame portions within the video images; and

for the second number of the video images and subsequent to the trigger event and the defining step, establishing the stored image resolution of the first frame portion at the first image resolution while simultaneously establishing the stored image resolution of the second frame portion at the second image resolution, such that each of at least some of the digitally stored video images have associated multiple coincident image resolutions corresponding to multiple frame portions.

2. The method of claim 1, wherein said predefined trigger event is a dynamic response to a detected object, the response being derived by signal processing of the information corresponding to the visible frame of the video images.

3. The method of claim 1, wherein said stream of video images is a timelapse sequence of independent digital images.

4. The method of claim 3, wherein said predefined trigger event corresponds to a change in the state of a sensor.

5. The method of claim 3, wherein said timelapse sequence has a rate of two images per second or less.

6. The method of claim 1, wherein said predefined trigger event corresponds to a change in the state of a sensor.

7. A method of recording video images, said method comprising:

providing a first stream of video images having information from only a single video source, said video images having attributes including image resolution, said image resolution attribute having a plurality of valid values;

defining a plurality of portions that collectively comprise the two-dimensional scanning region of each image a first number of the video images of the first stream, the plurality of portions including a first group and a second group, each group having at least one portion of the plurality of portions; and

for each of the first number of images, storing each first group portion of the image with the image resolution equal to a first resolution value and storing each second group portion of the same image with the image resolution equal to a second resolution that is enhanced compared to the first resolution value, and wherein the stored first and second group portions of the image are from the same stream of video images.

8. The method of claim 7, wherein at least one portion of the second group portion of said video images at said second resolution is dynamically definable.

9. The method of claim 8, wherein said dynamic definition of at least one portion of the second group portion is derived by signal processing of the information contained in said video images.

10. The method of claim 9, wherein at least one portion of the second group portion is dynamically defined to track a moving object within said video images.

11. The method of claim 9, wherein at least one portion of the second group portion is defined to dynamically correspond with a moving object within said video images.