US Patent Law & LZW
The first patent in the LZ family was filed in 1981. US patent 4,558,302 was issued to Terry Welch and Sperry Corporation on June 20,1983 (US 4558302 A). The LZW
Lempel–Ziv–Welch (LZW) is a universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. ... It is the algorithm of the widely used Unix file compression utility compress and is used in the GIF image format.
https://en.wikipedia.org › wiki
Can You patent a software algorithm?
Mar 09, 2017 · Abstract: Various apparatuses and methods are disclosed for processing texture data compressed with a first compression algorithm and texture data compressed with a second compression algorithm. A processing system may be used to determine whether the compressed texture data is compressed with the first or second compression algorithm, and process the …
Can machine learning algorithms be patented?
Mar 31, 2017 · Abstract: The present invention discloses a method and an apparatus for compressing and decompressing an IP data packet. The method includes: performing, by a first device, compression processing on IP data in an IP data packet according to a first compression algorithm; and encapsulating, by the first device, the IP data after the compression processing …
How can a software patent attorney help your tech startup?
The original announcement originated from a spokesperson at CompuServe, who lays out their position: Unisys controls the rights to the Lempel-Ziv-Welch compression technology. CompuServe has entered into an agreement with Unisys in which they agree to encourage any GIF developers who use CompuServe as a distributor to pay a royalty fee to Unisys.
Are AI and ML related software patents patentable?
I witnessed first hand this morning, as a very rare participant on a conference to the US Patent And Trademark Office, (USPTO), a patent attorney known as “The Examiner Whisperer” calm a wild horse while simultaneously serving the winning ACE at the Wimbledon Finals.My company was facing the bottom of the ninth with two outs and the winning ...
Who invented the compression algorithm?
Modern work on data compression began in the late 1940s with the development of information theory. In 1949 Claude Shannon and Robert Fano devised a systematic way to assign codewords based on probabilities of blocks. An optimal method for doing this was then found by David Huffman in 1951.
Who created LZ77?
LZ77 and LZ78 are the two lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977 and 1978.
When was lossless compression invented?
LZH. LZH was developed in 1987 and it stands for "Lempel-Ziv Huffman." It is a variant of LZSS that utilizes Huffman coding to compress the pointers, resulting in slightly better compression.Jan 22, 2019
Can I patent a compression algorithm?
You potentially could patent it. But current compression software is universal, compatible, free. Your algorithm offers proprietary (lock-in ?), 10% better, costs money.
What is the best compression algorithm?
6 Lossless Data Compression AlgorithmsLZ77. LZ77, released in 1977, is the base of many other lossless compression algorithms. ... LZR. LZR, released in 1981 by Michael Rodeh, modifies LZ77. ... LZSS. Lempel-Ziv-Storer-Szymanski (LZSS), released in 1982, is an algorithm that improves on LZ77. ... DEFLATE. ... LZMA. ... LZMA2.May 28, 2020
What is LZW image compression?
LZW compression is the compression of a file into a smaller file using a table-based lookup algorithm invented by Abraham Lempel, Jacob Ziv, and Terry Welch. Two commonly-used file formats in which LZV compression is used are the GIF image format served from Web sites and the TIFF image format.
Who invented audio compression?
First they built a huge, refrigerator-sized machine, nicknamed 'the helicopter', that could squeeze a sound file down to just 8% of its original size, but that wasn't especially convenient; they needed an algorithm that could replicate the same effect—and that's where Karlheinz Brandenburg comes in.Jan 29, 2013
What are the most well known data compression algorithms?
Deflate. Deflate is a lossless data compression algorithm file format that makes the use of a combination of LZSS and Huffman coding. It was designed by Phil Katz in the year 1993. Huffman coding is also an algorithm that was developed in the year 1952.Sep 16, 2020
Is MP4 lossless?
The compression algorithm for an MP4 file format is somewhat similar to the MP3 compression algorithm, but MP4 compression is lossless and audio or video quality of the actual file is not decreased. Video files using MP4 file container are compressed using H. 264 or MPEG-4 compression techniques.
Why is software patented?
The reason software can be patented is because it’s considered a finished product, whereas machine learning algorithms are considered abstract.
Where do AI patents come from?
Not surprisingly, the majority of AI & machine learning patents come from the biggest American and Japanese tech companies . In recent years, Chinese companies like Baidu have also been growing their patent portfolio. The problem, however, lies in their quality.
What is the market for machine learning in 2022?
By 2022, the global machine learning market is anticipated to reach $8.8B.
What is Samsung's latest patent?
Samsung’s latest patent is a drone with a flying display that can detect a person’s face, pupils, and hand gestures. The patent describes the camera as a mechanism that transmits information to the main control unit. Hence, it supplies the inputs. It’s usefulness, however, is still debated.
What are abstract ideas?
Abstract ideas. The first two categories expressed in the second criteria simply mean that your creation cannot be tied to what’s available to us through nature. For example: you can’t patent air, a new mineral, or plant.
What are the categories of invention?
First, the invention must fit into one or several of the following categories: Machine. Method. Article of manufacture. Composition of matter. Second, your invention must serve a purpose – be useful, and not fall into any of the following categories: Laws of nature. Physical phenomena.
Can machine learning be patented?
As a result, the US Patent and Trademark Office (USPTO) has released guidelines that clearly explain what can and cannot be patented in relation to machine learning & artificial intelligence. As a general overview, most of the technology that exists today operates under inputs and outputs.
About
Felipe works with clients in a diverse range of technology areas including software, electrical, and mechanical technologies to secure patent rights in the U.S.
Activity
For many years I led the Spectrum & Regulatory Task Group of Wi-Fi Alliance, and was a primary contributor to, and then Chair of the IEEE 802.18…
Patent Eligibility Criteria For Algorithms and Software Patents
- To answer the question of whether an algorithm can be patented, it is important to first explore what qualifies for patent protection. In the United States a patent can be granted for technological advancements or discoveries that fall into one of several categories that have been codified in 35 U.S.C. 101. These categories of patentability are: 1. Processes, 2. Machines, 3. Manufactures, a…
Can You Patent Artificial Intelligence?
- One area of software development that is currently popular is Artificial Intelligence (AI). Broadly defined, AI is the implementation of technical solutions to allow machines to function in a manner similar to humans and mimic human behavior. AI often includes the implementation of algorithms that rely on the use of sensors and feedback loops to capture changing information about the re…
Can You Patent A Mathematical Formula?
- No article about algorithms would be complete without discussing mathematical formulas. For what does the use of a mathematical formula entail, but a step-by-step procedure to solve a problem. This is very similar to the definition of an algorithm that was previously discussed. Mathematical formulas and their use then logically falls under the process category of patentabl…
Algorithm Patent Examples
- Despite the complications in trying to patent algorithms, many companies have been able to find success in growing their IP portfolios based on their proprietary algorithms. Speech recognition, image processing and analysis, physiological profile creation, drones that can determine expressions and gestures, advertising results improvements, and many other examples exist in …
Who Has The Most Patents Related to Ai & Machine Learning?
- Not surprisingly, the majority of AI & machine learning patents come from the biggest American and Japanese tech companies. In recent years, Chinese companies like Baidu have also been growing their patent portfolio. The problem, however, lies in their quality. Over the past 5 years, there was a huge surge in patenting artificial intelligence, according to the World Intellectual Pro…
Consult with An Experienced Software Patent Attorney
- An IP attorney with extensive experience in algorithms and the software they drive can assist you in protecting your innovation by identifying patentable subject matter, creating technical drawings, and drafting your patent application. At The Rapacke Law Group, we offer patent services to tech startups on a transparent, flat-fee basis, without the hassle of hourly billing or charges for calls o…
A. Nomenclature
- (Digital) image processing means the use of computer algorithms to perform image processing on (digital) images. It typically deals with classification of images, feature extraction and pattern recognition. It typically uses digital image transformations (applying kernels, masks to images, etc.) as a first step to extract features from an image and then applies approaches from artificia…
B. Patentability Before The EPO
- Without any doubt, the milestone decision in the field of image processing is the VICOM decision (T 208/84) from the year 1986. The method relates to "a method of digitally processing images in the form of a two-dimensional data array having elements arranged in rows and columns in which an operator matrix of a size substantially smaller than the size of the data array is convolved wit…
A. Enforceability
- On the one hand, patents relating to image processing methods which define a particular image operator applied on an image may be difficult to enforce due to problems that relate to the detection of the infringement of the claimed method. Since the image processing method is implemented in software, it is hard to detect whether the software infringes the claimed method …
B. Conclusion
- The field of image processing and generation is susceptible to patent protection in Europe (and many other jurisdictions). Whether a patent will be granted depends on the fact whether the claimed invention is novel and inventive vis-à-vis the prior art. However, since the field is closely related to mathematics, care has to be taken not to direct the claims to the mathematical metho…
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