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Sun Daze

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  1. I think part of the appeal of red is buying into the myth of Red. And part of that Myth is that the CEO, Jim Jannard, is the Elon Musk of the camera world. A genius badass disruptor. When that myth gets lifted, with jinnimag videos, consumers, especially those who own thousands of dollars of gear, those who bought into the myth of red get upset. Especially in the past three years, when 4k is now the norm, and Red no longer has higher resolution as a selling point, and when cheaper cameras like the blackmagic ursa mini pro and c300 ii and fs7 can get people to an image they want for a lot cheaper. When Hollywood now primarily uses the Alexa over the red. It's almost a mythical choice. But yea, now as we find out how much of a liar and Barnum-like con man Jim is, more stuff like below will be discovered. When he was the CEO at Oakley, he was involved in the Lance Armstrong doping scandal. He most likely was a bully who "encouraged" his employee to lie under oath. Maybe not what people expect in a leader. The type of person who could point blank lie to several companies about the origin of his camera components and would have no problem manipulating his users. More of this will come out. And at what point will the myth of red vanish, and will cameras go back to just being cameras. Tools used to do a job or create art? Where camera comparison tests from CML have more effect on a buyer than the feeling one gets from holding a camera or if it feels like a status symbol? https://www.abc.net.au/news/2014-07-02/sponsor-turned-blind-eye-to-lance-armstrongs-doping/5564074
  2. YES! Also not to mention all the character assasinations of Jinnimag and a tearful, heartfelt story about how he was late to ship a jinnimag to a customer! With all the thousands of hours now spent by all these people posting, and all the millions of dollars red has, how have they not paid one person to open up professional media by Sony, Panasonic, Codex? To show that this also is not enterprise grade stuff? That everybodies doin' it! Or open up a flanders monitor or tvlogic monitor or sony EVF and show it's cheap stuff? isn't that what this is about, besides showing how much red lied, excuse me, "created myths"? that their products are low-grade parts that they mark up with a premium.
  3. If you like the video, please donate to him so he can make a part V and/or send him your red one mx so he can open it up and find the secrets: https://www.gofundme.com/f/jinni-reveals-red?utm_source=customer&utm_medium=copy_link&utm_campaign=p_cp+share-sheet Why support him?: All of this seems to have already gotten the interest of Apple Inc that is in a patent dispute with Red. It seems this way as they have started to reference Jim Jannard's posts on reduser and cinematography.com. - If more knowledge of Red not actually having developed its sensor, then this will start to open up flaws in Red's patent on compressed raw internally. Right now Red stops all other camera manufacturers from making cameras that record compressed raw internally. How will this affect ARRI ALEXA CAMERAS? Arri cameras have pro res 4444 on them. This may open up Pro RAW on them - which is more efficient at 4k than 4k Pro Res HQ, but still a 12-bit codec! Why is Pro Res RAW so amazing? When a client asks for 4k, right now on the alexa MINI LF you can do 4k Pro Res 4444, but it eats up data for breakfast. Pro Res RAW brings this to a much more manageable data rate. How will this affect Canon, Sony, and BM cameras? Same. Imagine a smaller mirrorless camera that can do pro res raw? More efficient data rates in higher resolution. Better data for green screen and skintones for grading. This seems like a small thing, a man making little youtube videos, but it has real positives for our industry. His detective work is worth its weight in gold. And all it takes is hitting a link and anonymously sending him some cash. https://www.gofundme.com/f/jinni-reveals-red?utm_source=customer&utm_medium=copy_link&utm_campaign=p_cp+share-sheet
  4. dare i say this - this might be the next progression for digital sensors beyond CMOS. Seems like the organic sensor solves a lot of issues CMOS has with rolling shutter. Curious to see how it renders color, especially the red color in skintones.
  5. Story is now at gizmodo: https://gizmodo.com/why-is-apple-flexing-on-high-end-camera-company-red-ove-1837302653 and Apple Insider: https://appleinsider.com/articles/19/08/16/apple-demands-review-of-reds-rawcode-format-patent
  6. Thank you Andrew for this. Here's some of my analysis. Here's from Apple's Cliff Reader: Ex. 1001, Fig. 1. 37. As discussed below, none of these techniques or characteristics were new or non-obvious as of the ’299 patent’s earliest effective filing date. Video processing systems and methods similar to ’299 patent were known. For example, Presler (Ex. 1005) teaches a similar video camera system for processing and transmitting high resolution video data (Ex. 1005, Abstract) and Molgaard (Ex. 1006) teaches similar processing and lossless compression techniques, including compressing, decompressing, and demosaicing mosaiced image data (Ex. 1006, Abstract). In my opinion, the disclosures provided in Presler, Molgaard, and other prior art discussed below render obvious the claims that I have been asked to analyze in the ’299 patent. A. “Raw Mosaiced Image Data” 45. This term is used in independent claims 1 and 15. The specification of the ’299 patent does not offer an express definition of “mosaiced” image data. Apart from the claims and Abstract, the ’299 patent does not use the term “mosaic” or “mosaiced,” and refers only to the terms “demosaic,” “demosaiced,” and “demosaicing.” See e.g., Ex. 1001, 8:23-26, 10:25-27. The term “mosaiced,” however, is well known in the art as evidenced by Long (Ex. 1008), which describes “raw” data as received directly from a camera or similar device: When you shoot in raw format ... no demosaicing is performed by the camera. Instead, the raw data that your image sensor captures is written directly to your camera’s storage card. Demosaicing is then the performed in your raw conversion software. Ex. 1008, p.33. Long also describes the process of creating raw “mosaiced” data: Each pixel on your camera’s sensor has a colored filter over it, usually a red, green, or blue filter ... each pixel on the sensor is able to register one primary color. To turn this mosaic of primary-color pixels into a full-color image, a process called demosaicing is employed. Ex. 1008, p.32. Zhang (Ex. 1007) also describes this process: “primary color samples are interleaved in a two-dimensional (2-D) grid, or color mosaic, resembling a three-color checkerboard.” Ex. 1007, p.1. VII. IDENTIFICATION OF HOW THE CLAIMS ARE UNPATENTABLE 51. It is my opinion that claims 1-9, 11-12, 14-24, 26-27, and 29 are obvious over U.S. Patent No. 9,565,419 to Presler (Ex. 1005) in view of U.S. Patent No. 7,656,561 to Molgaard (Ex. 1006), further in view of U.S. Patent No. 5,600,373 to Chui et al. (“Chui,” Ex. 1015). 52. It is also my opinion that claims 10 and 25 are obvious over Presler in view of Molgaard and Chui, and further in view of U.S. Patent No. 7,349,574 to Sodini (Ex. 1013). 53. It is also my opinion that claims 13 and 28 are obvious over Presler in view of Molgaard and Chui, and further in view of U.S. Patent No. 8,170,402 to Frost-Ruebling (Ex. 1014). A. Claims 1-9, 11-12, 14-24, 26-27, and 29 are obvious over Presler in view of Molgaard, further in view of Chui 1. Summary of Presler 54. Similar to the video camera described in the ’299 patent, Presler describes a “portable digital camera and recording system.” Ex. 1005, 4:35-36. Presler’s portable digital camera and recording system is similarly designed for use of applications with “high definition raw images at film or video rates for HD, 2K and 4K, cinema quality production.” Ex. 1005, 6:21-22. 55. Presler’s portable digital camera and recording system includes a mobile docking camera with a docking camera module, HD/2K/4K sensor unit, a modular processing subsystem, and removable digital storage, as shown in Figure 8 below. 56. The mobile docking camera of Presler includes an optical assembly 22 which allows light to pass into the portable housing of the camera and onto the HD/2K/4K sensor unit 30. Ex. 1005, 6:13-16, 17:5-8. The sensor unit 30 of Presler may include color filters for capturing raw mosaiced image pixel data. See Ex. 1005, 6:32-34, 14:37-39, 16:16-21. 57. Image processing of the raw image data, including compression, is performed by the frame buffer system 32 and the processing system 34 of Presler’s camera. See Ex. 1005, 8:23-28, 13:53-57. Compressed image data may be stored in the removable digital storage 44 within the mobile docking camera of Presler. Ex. 1005, 12:13-15. The mobile docking camera is also configured to transmit “2K raw image data at fifty (50) images per second with 10-bit per pixel data.” Ex. 1005, 10:18-21. 58. I have been notified that Presler claims and is entitled to the filing date of Provisional Application No. 60/923,339 (Ex. 1012, “the ’339 Application”) filed on April 13, 2007. See Ex. 1005, 1:8-13; Ex. 1012. Petitioners note that the number of the ’339 Application is incorrectly recorded in Presler as 60/923,399. Ex. 1005, 1:8-13. 2. Summary of Molgaard 59. Molgaard teaches image processing techniques similar to those described in the ’299 patent, as well as image processing similar to that performed by the digital camera of Presler. For example, Molgaard teaches “lossless, near- lossless, and lossy compression and decompression of digital image data.” Ex. 1006, Abstract. Further, the processing method of Molgaard “is optimized for raw image data from a sensor with a Bayer filter pattern.” Ex. 1006, Abstract. An example of Molgaard’s processing system is shown in Figure 2B below. Molgaard further teaches that raw mosaiced image data received by an image sensor 14 includes a single data value for each color element of a Bayer filter. See Ex. 1006, 8:26-40. An example of this pattern is shown below in Figure 9. Ex. 1006, Figure 9. 61. Molgaard’s processing method also includes black calibration where raw mosaiced image data is processed to remove fixed pattern noise: In the embodiments outlined by the block diagrams of FIGS. 2A and B, raw image data can be black calibrated to remove the fixed pattern noise which is generated as a function of temperature as well as integration time in the image sensor array. This process is called black calibration as the fixed pattern which is subtracted is obtained while the image sensor is not illuminated. 1006, 10:27-30. 3. Summary of Chui 63. Chui is directed to “method and apparatus for performing video image compression and decompression.” Ex. 1015, Abstract. Chui also lists “[e]xamples of conventional lossless data compression techniques” including “Huffman encoding, Fano-Shannon encoding, and arithmetic encoding, as well as dynamic variations of the Huffman and Fano-Shannon probabilistic encoding techniques” and includes a lossless compressor that can implement Huffman encoding. Ex. 1015, 1:58-62, 17:62-18:3. 4. Reasons to Combine Presler, Molgaard, and Chui 64. In my opinion, a POSITA would have found it obvious to combine the teachings of Presler, Molgaard, and Chui. All three references disclose image acquisition from a camera, and subsequent image processing operations, notably including image compression. For example, all three references discuss the JPEG image compression standard. See Ex. 1005, 22:56-66; Ex. 1006, 10:45-48; Ex. 1015, 2:16-24. In particular, a POSITA would have been motivated to combine Molgaard’s image processing techniques with Presler’s video camera and processing system that also captures image data and includes similar image processing functionality. A POSITA would have recognized that Molgaard’s techniques could have been easily used to improve Presler’s similar video camera and would have improved performance of the video camera, such as enabling faster sampling of imaging data. See Ex. 1005, 5:57-66; Ex. 1006, Abstract, 7:1-3. 65. A POSITA would have recognized that Molgaard’s image processing techniques would have been readily applied to Presler’s video camera. For example, both references describe using a single image sensor with a Bayer filter to generate Bayer image data. See Ex. 1005, 14:37-39; Ex. 1006, 8:30-33. Furthermore, both teach processing raw image data from the image sensor. See Ex. 1006, Figure 2B (annotated) (showing an input of “RAW image data” that is passed through a “Preconditioning” step (as annotated below). 66. Based on these and other similarities, a POSITA would have understood that the pre-processing of raw image data, including Bayer image data in Molgaard would readily be applied Presler’s video camera that also captures and processes Bayer image data. 67. In particular, both Presler and Molgaard disclose systems and methods in which light is captured by an imaging sensor comprising a mosaiced array arranged according to the Bayer pattern, which is evidenced by U.S. Patent No. 3,951,065 to Bayer (Ex. 1016). And, Presler explicitly discloses Bayer sensors, with mosaiced pixel arrays. See Ex. 1005, 14:25-26, 14:37-39, 18:44-51, and Figures 2-4, 6-8, 10-11. Molgaard similarly discloses capturing light with an image sensor comprising a mosaiced array arranged according to the Bayer pattern. Ex. 1006, Abstract, 8:26-40, 12:5-9, 13:17-31. Although Presler does not discuss the specific details of capturing light incident on the sensor or the construction of the Bayer mosaiced array (although referring to the image sensor 30 as “pixelated”), Molgaard discloses both the capture of light by the sensor and the sensor arrangement. See e.g., Ex. 1006, Abstract, 6:27-39, 8:26-30, 9:51-62, 12:7-8 and Figure 8. 68. A POSITA would have understood that when the art discusses outputting raw data, it is discussing the pixel data from each element of the Bayer pattern array. See e.g., Ex. 1005, 10:37-38; Ex. 1006, 15:30-33. In this pattern, each pixel captures light of only one primary color. To form a complete image with all three colors for each pixel, the raw data must be spatially interpolated. This is evidenced by Presler which states: “n recent years, many digital still cameras or dual-mode video and still camcorders have also been developed which use single image sensors with color filter arrays. ... These digital still cameras and camcorders use dedicated hardware functions or targeted function digital signal processors (DSP) to perform image processing to interpolate and colorize the raw image data from the image sensor.” Ex. 1005, 2:35-50. Likewise, Molgaard states: “[r]aw image data means data containing only pixel values that have been read out from the image sensor. The data may be amplified and converted, but no new pixel values have been added to the data e.g. by color interpolation.” Ex. 1006, 6:27-30. Thus, both Presler and Molgaard disclose capturing images using pixelated sensors with the Bayer mosaic pattern and outputting raw pixel data. 69. Although Presler may not explicitly disclose the use of Huffman coding to compress the processed image data into compressed processed image data, Presler discloses the use of Cineform compression. Ex. 1005, 21:64-22:3, 22:61-66, 24:54-60, 25:1-2, and Figure 12. A POSITA would have understood that Cineform employs Huffman coding for entropy coding the compressed data. Chui explicitly discloses Huffman coding either as a standalone lossless compression technique (Ex. 1015, 2:56-62, 17:66-18:3, 31:15-19) or in combination with lossy coding (Ex. 1015, 27:10-22). Both Presler and Chui are concerned with compression, thus a POSITA would have understood that Chui provides support for the disclosure of the use of Huffman coding by Presler. A POSITA would have understood that well-known lossy compression techniques, such as the Wavelet compression as disclosed by Presler (Ex. 1005, 13:46-57) comprise a sequence of operations in which the information in the image is first isolated and then entropy coded. Presler discloses the compression of individual video frames – i.e., images, can be performed using an image compression technique according to the JPEG2000 standard. See Ex. 1005, 22:61-66. Presler also discloses use of the SATA interface for storage. See Ex. 1005, 12:13-23, 12:42-52, 15:55-61, 16:45-50, 22:4-9, 21:9-15. A POSITA would have known that the SATA specification supports storage at rates up to 3GB/s. See Ex. 1009, p.50. It would have been obvious to combine the specification of the SATA standard with the disclosed use of the standard, to support the disclosed capability of Presler’s system to store compressed processed images data at a rate of at least about 23 frames per second. See Ex. 1009, p.50. 71. Presler further discloses various system architectures for implementing the disclosed inventions including the use of hardware to perform compression. See e.g., Ex. 1005, 2:63-3:2 10:62-11:19, 13:30-57. A POSITA would have understood that before the earliest priority date of the ’299 patent in 2007, it was common practice to employ a compression chip as a hardware component of a digital video system. For example, set-top boxes, DVD players, and digital camcorders all used hardware compression chips as a component of complete digital video systems. 72. Second, a POSITA would have recognized that Molgaard’s data processing techniques would have been ideally suited for meeting the high-speed data requirements of Presler’s camera. See Ex. 1005, 4:33-39. For example, Molgaard’s compression algorithm “enables very fast subsampling of an already compressed image”—such as imaging data in Presler’s camera—to “improve MY FINDING: It is not unique to combine Pressler with Molgard - it's rather obvious. And with Chui, to be using jpeg to do this is pretty obvious. Red did it and it's great, but you can't patent something that already exists and was already patented by combining 2 patents and calling it a day Here's from Red's Response - "Finally, RED’s successful reduction to practice is corroborated by photographs, documentation, the testimony of current and former non-inventor employees who had direct personal knowledge and involvement with the RED ONE project, and the testimony of Academy Award winners Sir Peter Jackson and Steven Soderbergh. Indeed, with respect to their qualifications to assess the visually lossless" While Boris and Natasha used lossy compression, the ’299 patent claims recite the use of Huffman compression. Nevertheless, a patent owner may antedate a reference even if there are differences between the patent owner’s evidence of actual reduction to practice and the challenged claim. Specifically, to the extent any such differences exist, the patent owner may antedate the reference “by showing that the differences between the claimed invention and the showing [of reduction to practice] . . . would have been obvious to one of ordinary skill in the art,” in view of the patent owner’s evidence. M.P.E.P. § 715.02 (9th Ed. Rev. 8, Jan. 2018) (emphases added); see In re Spiller, 500 F.2d 1170, 1178 n.5 (C.C.P.A. 1974) (Rich, J.). Such a showing is sufficient to antedate a reference because the patent owner’s reduction to practice “carries with it possession of variations and adaptations which would, at the same time, be obvious to one skilled in the art.” In re Spiller, 500 F.2d at 1178 n.5, 1176-78. Huffman compression is a lossless compression technique that has been well known in the art for several decades. Nattress Decl. ¶ 30. For example, Petitioner’s exhibit 1015, a U.S. patent issued in 1997, refers to Huffman encoding as a “conventional lossless data compression technique[] . . ..” Ex. 1015 at 1:56-60. Petitioner’s declarant also argues that Huffman compression was a known technique whose implementation was within the level of ordinary skill in the art. Ex. 1003 at 60. Although a lossless compression technique provides a lower compression ratio than lossy compression, this impacts the write speed and memory on the hard drive. Nattress Decl. ¶ 31. It does not lower the visual quality of the output. Id. Thus, because the REDCODE on Boris produced visually lossless output with a lossy compression technique, a person of ordinary skill in the art would know that REDCODE would successfully produce visually lossless output using a lossless compression routine like Huffman compression. Id. This result follows necessarily because a lossless compression technique removes any potentiality for compression artifacts caused by lossless compression. Id. Accordingly, the reduction to practice of RED’s novel and nonobvious video camera capable of visually lossless output using lossy compression was tantamount to reducing to practice a video camera capable of visually lossless output using Huffman (i.e., lossless) compression. As established by Petitioner’s own reference and declarant, such a variation on the compression technique was conventional, and implementation of that conventional variation was well within the capability of those of skill in the art." I still don't quite see their rebuttal.
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