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AssigneeNone recorded
InventorsJohn D. Ralston, Krasimir D. Kolarov, Steven E. Saunders
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Methods for the deployment of an image servicing platform over a mobile wireless network are described. A mobile multimedia service controller (MMSC) includes a video gateway that is capable of transcoding among different video formats supported by an imaging service platform. The MMSC can be connected over a network to a download server that provides updates to a transcoder application and a video image application.
A method of deploying an imaging service platform comprising the steps of:
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Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
Compression ; Expansion; Suppression of unnecessary data, e.g. redundancy reduction: conversion to or from variable length codes, e.g.…
Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code: conversion to or from arithmetic code
Details of television systems: television signal recording
Term ended 24 Aug 2025 (estimated)
The present invention relates to data compression, and more particularly to still image and video image recording in video monitoring systems, corresponding device architectures, and system architectures for transmitting, storing, editing, processing, and transcoding still images over wireless and wired networks and viewing them on display-enabled devices as well as distributing and updating codecs across networks and devices.
Directly digitized still images and video requires many “bits.” Accordingly, it is common to compress images and video for storage, transmission, and other uses. Several basic methods of compression are known, and very many specific variants of these. A general method can be characterized by a three-stage process: transform, quantize, and entropy-code. Many image and video compressors share this basic architecture, with variations.
The intent of the transform stage in a video compressor is to gather the energy or information of the source picture into as compact a form as possible by taking advantage of local similarities and patterns in the picture or sequence. Compressors are designed to work well on “typical” inputs and can ignore their failure to compress “random” or “pathological” inputs. Many image compression and video compression methods, such as MPEG-2 and MPEG-4, use the discrete cosine transform (DCT) as the transform stage. Some newer image compression and video compression methods, such as MPEG-4 static texture compression, use various wavelet transforms as the transform stage.
FIG. 1 illustrates an architecture of a video monitoring system using analog CCTV cameras.
FIG. 2 illustrates an architecture of a video monitoring system using digital video cameras and IP network.
FIG. 3 illustrates an architecture of a video monitoring system using analog cameras with external digital video codecs and IP network interface.
Wavelet-Based Image Processing
A wavelet transform comprises the repeated application of wavelet filter pairs to a set of data, either in one dimension or in more than one. For still image compression, a 2-D wavelet transform (horizontal and vertical) can be utilized. Video codecs can use a 3-D wavelet transform (horizontal, vertical, and temporal). An improved, symmetrical 3-D wavelet-based video compression/decompression (codec) device is desirable to reduce the computational complexity and power consumption in video monitoring devices and applications to a level well below those required for DCT-based codecs, as well as to enable simultaneous support for processing still images and video images in a single codec. Such simultaneous support for still images and video images in a single codec would eliminate the need for separate MPEG (video) and JPEG (still image) codecs, or greatly improve compression performance and hence storage efficiency with respect to Motion JPEG codecs.
Video Monitoring System Architecture