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Patent for Sale:

Scalable Video Coding Method    

A method where the video signal is processed and coded at various layers of spatial resolution enabling more efficient prediction to be implemented between homologous layers of spatial resolution.


The method implements a prediction mechanism in a spatio‚Äźtemporal transformed domain between video signals that have undergone similar spatial and temporal transformations (even if applied in a different order); rather than interpolating lower resolution data from a pyramidal representation, a single stage spatial decomposition is applied to higher resolution input data to allow prediction to be operated on lower resolution material that has been previously described (encoded), limiting artefacts that occur in the reconstruction process at higher spatial resolution.

Primary Application of the Technology

Visual communication.
Multiresolution communication.
Video streaming.
Visual telephony.
Video conferencing.

The Problem Solved by the Technology

It overcomes the problem of shift variance which is typically present in subband coding approaches, that has limited the performance of such coding schemes for video compression due to the non invertability of motion compensated temporal filtering across spatial scales.

How the Technology Solves the Problem

It departs radically from the typical bottom-up pyramidal prediction paradigm that uses low resolution information to predict high resolution details, which is used in current multiresolution frameworks (H264 SVC). The method decomposes with a careful trick a high resolution video signal in a family of spatio-temporal detail signals, and a single low resolution reference signal. This overcomes the problem mentioned previously.

Competitive Advantage

The method is inherently scalable, so that it naturally creates an embedding of information. It can easily adapt over a very wide range of resolutions, while preserving visual quality, by simply scaling hardware or software implementation pipelines. At very high spatial resolutions it does not create halo effects in large uniform areas which are typically difficult to encode at very high resolution. Base layer (low resolution scale) can accommodate any existing video standard.

- It provides overall better visual quality at a lower cost.
- It can be easily integrated with existing coding standard technology, and add to it more performances with minimal added cost.
- It offers more flexibility in terms of target bitrate, spatial and temporal resolution support.
- It offers a better evolution path with respect to standard coding technology. The structure of the proposed invention is spatial and temporal resolution agnostic and not built specifically for given resolutions as the current standards so it will evolve much better.
- The generated video bistream is deterministic thus there is no need to identify conformance points.
- It adapts better to the varying network conditions especially on mobile.
- From a user perspective there are two key impacts: a) low cost b) better quality video with artifacts that less noticeable to the human eye than the block based coding standards.
- The patent identifies a class encoding technology thus it is the basis of a series of patent families in this area.

Comments on Deal Structure, Potential Terms and Restrictions

Willing to consider any commercial solution:
- sale;
- (exclusive or non-exclusive) licensing of the technology;
- joint venture with shared revenues to further develop the technology, and strengthen further the IPR

The seller may consider selling these patents individually.

Frequently Asked Questions

Were subjective tests conducted by independent parties to verify the quality of the proposed solution? Yes. The outcome was that the proposed technology was the most performing among the non transform based video coding schemes that were competitively compared during the conducted experiments.

Do you have a software implementation that can generate a scalable bit-stream using the proposed technology? Yes.

Do you expect that the coding performance can be further optimized? Yes. At the time subjective tests were conducted the implementation was already considered superior for some test material when compared to other traditional video coding standards.

Patent Summary

U.S. Patent Classes & Classifications Covered in this listing:

Class 375: Pulse Or Digital Communications

This is the generic class for pulse or digital communication systems using electrical or electromagnetic signals. Such communication includes transmitting an intelligence bearing signal from one point to another in the form of discrete variations in some parameter of the electrical or electromagnetic signal.


Class 348: Television

Generating, processing, transmitting or transiently displaying a sequence of images, either locally or remotely, in which the local light variations composing the images may change with time.

Subclass 335: Optics
Subclass 581: Size change
Subclass 699: Motion vector generation
Subclass 715: For storing a sequence of frames or fields
Subclass E5.066: Movement estimation (EPO)
Subclass E5.077: Circuitry for suppressing or minimizing disturbance, e.g., moire, halo (EPO)

Class 382: Image Analysis

This is the generic class for apparatus and corresponding methods for the automated analysis of an image or recognition of a pattern. Included herein are systems that transform an image for the purpose of (a) enhancing its visual quality prior to recognition, (b) locating and registering the image relative to a sensor or stored prototype, or reducing the amount of image data by discarding irrelevant data, and (c) measuring significant characteristics of the image.

Subclass 189: With a display
Subclass 209: Template matching (e.g., specific devices that determine the best match)

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