Software and Patent Scope: a Report from the Middle Innings
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Is Software Still Patentable?
Is Software Still Patentable? The last four years have posed significant hurdles to software patents; nevertheless they continue to be filed and allowed. By James J. DeCarlo and George Zalepa | August 20, 2018 | The Recorder Over the past four years, decisions by the Supreme Court and Federal Circuit, as interpreted by the U.S. Patent and Trademark Office, have had a dramatic effect on software-related inventions. These decisions have focused primarily on what comprises patentable subject matter under 35 U.S.C. § 101 and whether a patent’s specification adequately supports the claims. While uncertainty still exists, recent court decisions, coupled with sound prosecution strategies, can be used to bolster a practitioner’s arguments before the USPTO and courts. In Alice v. CLS Bank (2014), the Supreme Court applied the now familiar “two-part test” first laid out in Mayo v. Prometheus (2012). Under this test, a claim is first analyzed to determine if it is “directed to” an abstract idea. If so, the claim is then analyzed to determine whether it recites “significantly more” than the identified abstract idea or just “routine and conventional” elements. This test was (and is) routinely applied to software claims, and the pendulum of patentability for software inventions post-Alice swung firmly towards ineligibility. Nearly all decisions by the Federal Circuit in the immediate aftermath of Alice found claims ineligible. Similarly, the USPTO’s allowance rate in software-related art units plummeted, and many allowed but not yet issued applications were withdrawn by the USPTO. While many cases are representative of this period, the decision in Electric Power Group v. -
Lossy Image Compression Based on Prediction Error and Vector Quantisation Mohamed Uvaze Ahamed Ayoobkhan* , Eswaran Chikkannan and Kannan Ramakrishnan
Ayoobkhan et al. EURASIP Journal on Image and Video Processing (2017) 2017:35 EURASIP Journal on Image DOI 10.1186/s13640-017-0184-3 and Video Processing RESEARCH Open Access Lossy image compression based on prediction error and vector quantisation Mohamed Uvaze Ahamed Ayoobkhan* , Eswaran Chikkannan and Kannan Ramakrishnan Abstract Lossy image compression has been gaining importance in recent years due to the enormous increase in the volume of image data employed for Internet and other applications. In a lossy compression, it is essential to ensure that the compression process does not affect the quality of the image adversely. The performance of a lossy compression algorithm is evaluated based on two conflicting parameters, namely, compression ratio and image quality which is usually measured by PSNR values. In this paper, a new lossy compression method denoted as PE-VQ method is proposed which employs prediction error and vector quantization (VQ) concepts. An optimum codebook is generated by using a combination of two algorithms, namely, artificial bee colony and genetic algorithms. The performance of the proposed PE-VQ method is evaluated in terms of compression ratio (CR) and PSNR values using three different types of databases, namely, CLEF med 2009, Corel 1 k and standard images (Lena, Barbara etc.). Experiments are conducted for different codebook sizes and for different CR values. The results show that for a given CR, the proposed PE-VQ technique yields higher PSNR value compared to the existing algorithms. It is also shown that higher PSNR values can be obtained by applying VQ on prediction errors rather than on the original image pixels. -
Top 10 Reasons to Choose Autocad Raster Design 2010
Top 10 Reasons to Choose AutoCAD Raster Design 2010 The Power of AutoCAD Minimize Costly Redrafting and Data Entry Time 1 Convert your scanned paper drawings to vector with Raster Design interactive and semiautomatic conversion tools. Use dynamic dimensioning and grip editing with vectorization Extend the power of AutoCAD® and tools to speed up the conversion and verification of raster AutoCAD-based software with AutoCAD® primitives such as lines, arcs, and circles. Easily convert Raster Design software. Make the most of continuous raster entities into AutoCAD polylines and 3D rasterized scanned drawings, maps, aerial polylines with vectorization following tools. Create and photos, satellite imagery, and digital elevation effectively manage hybrid drawings by converting only the models. Get more out of your raster data and necessary raster geometry, thereby speeding document enhance your designs, plans, presentations, and drawing revisions and updates. In addition, use optical and maps. AutoCAD Raster Design enables character recognition (OCR) functionality to recognize you to work in an AutoCAD environment, machine- and hand-printed text and tables on raster significantly reducing the need to purchase images to create AutoCAD text or multiline text (mtext). and learn multiple applications. RESULT: Speed project completion by unlocking and making the most of existing scanned engineering drawings, plans, Now Is the Time and maps. Use the Imagery You Require Take a look at how AutoCAD Raster Design AutoCAD Raster Design software supports a wide variety can help you improve your design process. 2 of industry-standard file formats, including single-image and multispectral file formats such as CALS, ER Mapper For more information about ECW, GIF, JPEG, JPEG 2000, LizardTech™ MrSID, TGA, AutoCAD Raster Design, go to TIFF, and more. -
Does Strict Territoriality Toll the End of Software Patents?
NOTES DOES STRICT TERRITORIALITY TOLL THE END OF SOFTWARE PATENTS? James Ernstmeyer* INTRODUCTION ............................................................................................. 1267 I. UNITED STATES PROTECTION FOR INTELLECTUAL PROPERTY RIGHTS IN SOFTWARE ........................................................................ 1269 A. Defining Software ...................................................................... 1269 B. Copyright Protection for Software ............................................ 1270 C. Patent Protection for Software .................................................. 1272 D. The Backlash Against Intellectual Property Rights in Software ..................................................................................... 1274 E. In re Bilski Turns Back the Clock .............................................. 1278 II. UNITED STATES SOFTWARE PATENTS IN CROSS-BORDER TRADE .... 1280 A. Global Economic Stakes in United States Software Patents ..... 1280 B. Congressional Protection of Patents in Cross-Border Trade ......................................................................................... 1281 C. Extraterritoriality Concerns in Applying § 271(f) to Software Patents ........................................................................ 1283 III. DO PATENTS PROTECT SOFTWARE? – WOULD COPYRIGHTS DO BETTER? ............................................................................................ 1287 A. Effects of the Microsoft v. AT&T Loophole .............................. 1287 B. Combining -
There Is No Such Thing As a Software Patent
There is no such thing as a software patent 1 Kim Rubin BSEE/CS 45 years technology experience 4 startups 100+ inventions Patent Agent Author Taught computer security Book shelf for patents 2 {picture of file cabinets here} 3 There is no such thing as a software patent 4 7.5 5 7.4 6 7.3 7 There is no such thing as a software patent. There is no such thing as a rubber patent. There is no such thing as a steel patent. There is no such thing as an electricity patent. 8 There is only ... a patent. 9 pro se en banc said embodiment 10 Czapinski v. St. Francis Hosp., Inc., 2000 WI 80, ¶ 19, 236 Wis. 2d 316, 613 N.W.2d 120. v. The Federal Food, Drug, and Cosmetic Act (FDCA), ch. 675, 52 Stat. 1040, as amended, 21 U.S.C. § 301 et seq., iSee 21 U.S.C. § 355(a); Eli Lilly & Co. v. Medtronic, Inc., 496 U.S. 661, 665—666, 674 (1990). 11 Article I, Section 8 8. “To promote the Progress of Science and useful Arts, by securing for limited Times to Inventors the exclusive Right to their Discoveries.” 12 Article I, Section 8 8. “To promote the Progress of Science and useful Arts, by securing for limited Times to Inventors the exclusive Right to their Discoveries … except for software.” 13 Jefferson, Congress, SCOTUS and MPEP 3. “The Act embodied Jefferson’s philosophy that ‘ingenuity should receive a liberal encouragement.’ 5 Writings of Thomas Jefferson, 75-76 Washington ed. 1871). -
Understanding Compression of Geospatial Raster Imagery
Understanding Compression of Geospatial Raster Imagery Document Overview This document was created for the North Carolina Geographic Information and Coordinating Council (GICC), http://ncgicc.com, by the GIS Technical Advisory Committee (TAC). Its purpose is to serve as a best practice or guidance document for GIS professionals that are compressing raster images. This document only addresses compressing geospatial raster data and specifically aerial or orthorectified imagery. It does not address compressing LiDAR data. Compression Overview Compression is the process of making data more compact so it occupies less disk storage space. The primary benefit of compressing raster data is reduction in file size. An added benefit is greatly improved performance over a network, because the user is transferring less data from a server to an application; however, compressed data must be decompressed to display in GIS software. The result may be slower raster display in GIS software than data that is not compressed. Compressed data can also increase CPU requirements on the server or desktop. Glossary of Common Terms Raster is a spatial data model made of rows and columns of cells. Each cell contains an attribute value identifying its color and location coordinate. Geospatial raster data like satellite images and aerial photographs are typically larger on average than vector data (predominately points, lines, or polygons). Compression is the process of making a (raster) file smaller while preserving all or most of the data it contains. Imagery compression enables storage of more data (image files) on a disk than if they were uncompressed. Compression ratio is the amount or degree of reduction of an image's file size. -
Prior Art Searches in Software Patents – Issues Faced
Journal of Intellectual Property Rights Vol 23, November 2018, pp 243-249 Prior Art searches in Software Patents – Issues Faced Shabib Ahmed Shaikh, Alok Khode and Nishad Deshpande,† CSIR Unit for Research and Development of Information Products, Tapovan, S.No. 113 & 114, NCL Estate, Pashan Road, Pune - 411 008, Maharashtra, India Received: 15 November 2017; accepted: 24 November 2018 Prior-art-search is a critical activity carried out by intellectual property professionals. It is usually performed based on known source of literature to ascertain novelty in a said invention. Prior-art-searches are also carried out for invalidating a patent, knowing state of the art, freedom to operate studies etc. In many technological domains such as chemistry, mechanical etc., prior art search is easy as compared to domain such as software. In software domain, prior-art can prove to be a complex and tedious process relying heavily on non-patent literature which acts as a pointer to the current technological trends rather than patent documents. This paper tries to highlight the issues faced by patent professionals while performing prior-art search in the field of software patents. Keywords: Patents, Software patents, World Intellectual Property Organisation, Prior art, Search Issues A patent is a form of intellectual property. It provides The identification of the relevant prior art, comprising exclusionary rights granted by national IP office to an of existing patents and scientific or non-patent inventor or their assignee for a limited period of time literature is important as it has bearing on the quality in exchange for public disclosure of an invention. -
Google Inc. in Response to the PTO's Request for Comments on the Partnership for Enhancement of Quality of Software-Related Patents, Docket No
From: Suzanne Michel Sent: Monday, April 15, 2013 8:40 PM To: SoftwareRoundtable2013 Subject: Submission of Google Inc Please find attached the submission of Google Inc. in response to the PTO's request for comments on the partnership for enhancement of quality of software-related patents, Docket No. PTO-P-2012-0052. If possible, please send an acknowledgment of receipt of the submission. Thank you very much, Suzanne Michel -- Suzanne Michel Senior Patent Counsel, Google [email protected] 202 677- | | | 5398 Before the United States Patent and Trademark Office Alexandria, VA 22313 In re: ) ) Docket No. PTO-P-2012-0052 Request for Comments and Notice ) of Roundtable Events for ) Partnership for Enhancement of ) Quality of Software-Related ) Patents ) ) COMMENTS OF GOOGLE INC. Daryl L. Joseffer Suzanne Michel KING & SPALDING LLP GOOGLE INC. 1700 Pennsylvania Avenue, NW 1101 New York Avenue, N.W. Washington, DC 20006 Washington, DC 20005 (202) 737-0500 (650) 253-0000 Adam M. Conrad KING & SPALDING LLP 100 N Tryon Street, Suite 3900 Charlotte, NC 28202 (704) 503-2600 April 15, 2013 TABLE OF CONTENTS PART I: INTRODUCTION ...................................................................................................1 PART II: THE PTO SHOULD APPLY SECTION 112(F) TO MORE PATENTS THAT CLAIM SOFTWARE-IMPLEMENTED INVENTIONS ...........................3 A. Section 112(f) Permits The Use Of Functional Claim Elements Only When The Specification Discloses Sufficient Structure To Limit The Claim To The Applicant’s Actual Invention. ...............................3 1. As A Matter Of Policy And Precedent, Patent Law Has Never Permitted Pure Functional Claiming. .......................................3 2. Congress Enacted Section 112(f) To Permit Functional Claiming Accompanied By Sufficient Disclosures. -
Committee on Development and Intellectual Property
E CDIP/13/10 ORIGINAL: ENGLISH DATE: MARCH 27, 2014 Committee on Development and Intellectual Property Thirteenth Session Geneva, May 19 to 23, 2014 PATENT-RELATED FLEXIBILITIES IN THE MULTILATERAL LEGAL FRAMEWORK AND THEIR LEGISLATIVE IMPLEMENTATION AT THE NATIONAL AND REGIONAL LEVELS - PART III prepared by the Secretariat 1. In the context of the discussions on Development Agenda Recommendation 14, Member States, at the eleventh session of the Committee on Development and Intellectual Property (CDIP) held from May 13 to 17, 2013, in Geneva, requested the International Bureau of the World Intellectual Property Organization (WIPO) to prepare a document that covers two new patent-related flexibilities. 2. The present document addresses the requested two additional patent-related flexibilities. 3. The CDIP is invited to take note of the contents of this document and its Annexes. CDIP/13/10 page 2 Table of Contents I. EXECUTIVE SUMMARY……………………………………………………………...…….….. 3 II. THE SCOPE OF THE EXCLUSION FROM PATENTABILITY OF PLANTS..…….…….…4 A. Introduction……..……………………………………………………………………….….4 B. The international legal framework………………………………………………………. 6 C. National and Regional implementation………………………………………………… 7 a) Excluding plants from patent protection……………………………………........ 8 b) Excluding plant varieties from patent protection………………………………... 8 c) Excluding both plant and plant varieties from patent protection……...……….. 9 d) Allowing the patentability of plants and/or plant varieties……………………… 9 e) Excluding essentially biological processes for the production of plants…….. 10 III. FLEXIBILITIES IN RESPECT OF THE PATENTABILITY, OR EXCLUSION FROM PATENTABILITY, OF SOFTWARE-RELATED INVENTIONS………………………….…….…. 12 A. Introduction………………………………………………………………………….….…12 B. The International legal framework………………………………………………………13 C. National implementations……………………………………………………………….. 14 a) Explicit exclusion …………………………………………………………………. 14 b) Explicit inclusion…………………………………………………………………... 16 c) No specific provision……………………………………………………………… 16 D. -
Image Formats
Image Formats Ioannis Rekleitis Many different file formats • JPEG/JFIF • Exif • JPEG 2000 • BMP • GIF • WebP • PNG • HDR raster formats • TIFF • HEIF • PPM, PGM, PBM, • BAT and PNM • BPG CSCE 590: Introduction to Image Processing https://en.wikipedia.org/wiki/Image_file_formats 2 Many different file formats • JPEG/JFIF (Joint Photographic Experts Group) is a lossy compression method; JPEG- compressed images are usually stored in the JFIF (JPEG File Interchange Format) >ile format. The JPEG/JFIF >ilename extension is JPG or JPEG. Nearly every digital camera can save images in the JPEG/JFIF format, which supports eight-bit grayscale images and 24-bit color images (eight bits each for red, green, and blue). JPEG applies lossy compression to images, which can result in a signi>icant reduction of the >ile size. Applications can determine the degree of compression to apply, and the amount of compression affects the visual quality of the result. When not too great, the compression does not noticeably affect or detract from the image's quality, but JPEG iles suffer generational degradation when repeatedly edited and saved. (JPEG also provides lossless image storage, but the lossless version is not widely supported.) • JPEG 2000 is a compression standard enabling both lossless and lossy storage. The compression methods used are different from the ones in standard JFIF/JPEG; they improve quality and compression ratios, but also require more computational power to process. JPEG 2000 also adds features that are missing in JPEG. It is not nearly as common as JPEG, but it is used currently in professional movie editing and distribution (some digital cinemas, for example, use JPEG 2000 for individual movie frames). -
How Electric Power Group Case Is Affecting Software Patents by Michael Kiklis (August 19, 2019)
This article was originally published by Law360 on August 19, 2019. How Electric Power Group Case Is Affecting Software Patents By Michael Kiklis (August 19, 2019) Many commentators predicted the end of software patents after the U.S. Supreme Court’s Alice Corp. v. CLS Bank International decision. Software patent practitioners therefore applauded when the U.S. Court of Appeals for the Federal Circuit stated in 2016’s Enfish LLC v. Microsoft Corp. decision that “claims directed to software, as opposed to hardware, are [not] inherently abstract.”[1] But soon thereafter, our optimism waned when the Federal Circuit in Electric Power Group LLC v. Alstom SA found that data gathering, analysis and display is an abstract idea, thus rendering many software inventions abstract.[2] In fact, the Federal Circuit is recently applying Electric Power Group more Michael Kiklis frequently and has even expanded its use to find that “entering, transmitting, locating, compressing, storing, and displaying data”[3] and “capturing and transmitting data from one device to another” are abstract ideas.[4] Many software inventions — such as artificial intelligence systems — gather data, analyze that data and perform some operation that usually includes displaying or transmitting the result. Electric Power Group and its progeny therefore pose a serious risk to software inventions, including even the most innovative ones. Knowing how to avoid Section 101 invalidity risk from these cases is therefore critical. This article provides strategies for doing so. The Problem With Being Abstract Alice holds that if a claim is directed to an abstract idea and it does not recite an inventive concept, the claim is ineligible under 35 U.S.C. -
Patenting Software Is Wrong
Case Western Reserve Law Review Volume 58 Issue 2 Article 7 2007 Manuscript: You Can't Patent Software: Patenting Software is Wrong Peter D. Junger Follow this and additional works at: https://scholarlycommons.law.case.edu/caselrev Part of the Law Commons Recommended Citation Peter D. Junger, Manuscript: You Can't Patent Software: Patenting Software is Wrong, 58 Case W. Rsrv. L. Rev. 333 (2007) Available at: https://scholarlycommons.law.case.edu/caselrev/vol58/iss2/7 This Tribute is brought to you for free and open access by the Student Journals at Case Western Reserve University School of Law Scholarly Commons. It has been accepted for inclusion in Case Western Reserve Law Review by an authorized administrator of Case Western Reserve University School of Law Scholarly Commons. MANUSCRIPT* YOU CAN'T PATENT SOFTWARE: PATENTING SOFTWARE IS WRONG PeterD. Jungert INTRODUCTION Until the invention of programmable' digital computers around the time of World War II, no one had imagined-and probably no one could have imagined-that methods of solving mathematical . Editor'sNote: This article is the final known manuscript of Professor PeterJunger. We present this piece to you as a tribute to Professor Junger and for your own enjoyment. This piece was not, at the time of ProfessorJunger 's passing, submitted to any Law Review or legal journal.Accordingly, Case Western Reserve University Law Review is publishing this piece as it was last edited by Professor Junger, with the following exceptions: we have formatted the document for printing, and corrected obvious typographical errors. Footnotes have been updated to the best of our ability, but without Professor Junger's input, you may find some errors.