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Cost-Effective System Solution for Processing High Definition or Multiple Standard Definition Images Using Existing Standard Definition Components and Infrastructure

IP.com Disclosure Number: IPCOM000028036D
Original Publication Date: 2004-Apr-21
Included in the Prior Art Database: 2004-Apr-21
Document File: 6 page(s) / 247K

Publishing Venue

IBM

Abstract

This disclosure defines several cost-effective alternatives for the capture and storage of High Definition (HD) video images in a security system while avoiding the expense of replacing an entire existing Standard Definition (SD) video hardware and network infrastructure.

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Cost-Effective System Solution for Processing High Definition or Multiple Standard Definition Images Using Existing Standard Definition Components and Infrastructure

Capture and storage of High Definition (HD) video images is highly desirable for enhanced security monitoring, and improved image recognition and analysis. HD images provide for a wider field of view, allowing for detailed analysis of larger areas of interest compared to Standard Definition (SD) images. HD images can also be partitioned to display multiple SD images on a single HD-capable monitor. However, the purchase and installation of HD video imaging equipment into a location is an expensive proposition. Included is the replacement cost of all the video hardware (cameras, recorders, etc.) as well as the cost of upgrading the network infrastructure used to transmit data from the source device to the monitoring, analysis and/or storage device. Disclosed is a cost effective solution that provides for the capture and storage of HD video images while avoiding the expense of replacing the entire video hardware and network infrastructure in an existing security system.

Alternative #1:

An HD image is created using multiple SD cameras (n). To create an image that is temporally correct and contiguous in space, the cameras are synchronized and positioned such that the horizontal or vertical edge for the field of view of each adjacent camera is coincident. The digitized output of each camera can be optionally reduced using three different methods to allow use of an SD encoder and SD bandwidth network to transmit data:
1. Prior to buffer storage, use digital filters to scale the HD image to SD size. This method minimizes buffer size and cost at the expense of image resolution. The scaled image may be re-expanded after the Moving Picture Experts Group (MPEG) decoding step.
2. Reduce the frame rate by selecting every nth frame from each camera, where n is dependent on the macroblock processing rate of the subsequent MPEG encoding step and the total number of macroblocks to be processed per HD video frame.
3. Select only one partition of the HD image to transmit. Selection could be based on an activity alarm in a given area. The partition may be defined by the boundaries of a single camera, or it may cross the boundaries and come from multiple cameras.

The resulting video stream is then transmitted to a remote location where it can be decoded for viewing or analysis, or recorded on a storage media for future recall. Figure 1 describes a general data flow of these techniques, Figure 2 shows an example implementation supporting HD 1080i format, and Figure 3 specifies the general formula for calculating the maximum HD input frame rate permitted by a single SD encoder based on SD encoder processing capability, and contains the related frame rate table covering all Advanced Television Systems Committee (ATSC) HD formats:

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This is an SD encoder that will encode a scaled HD i...