Pixel Pictures Quotes

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With the selfies, a photographer has finally found his place in a photograph.
Amit Kalantri (Wealth of Words)
Science is often described as an iterative and cumulative process, a puzzle solved piece by piece, with each piece contributing a few hazy pixels of a much larger picture. But the arrival of a truly powerful new theory in science often feels far from iterative. Rather than explain one observation or phenomenon in a single, pixelated step, an entire field of observations suddenly seems to crystallize into a perfect whole. The effect is almost like watching a puzzle solve itself.
Siddhartha Mukherjee (The Emperor of All Maladies: A Biography of Cancer)
A selfie has more face and fewer feelings.
Amit Kalantri (Wealth of Words)
Above the three coffins, a family of four stared down from a blown-up photograph. Their static smiles were overlarge and pixelated. Falk recognised the picture from the news. It had been used a lot. Beneath, the names of the dead were spelled out in native flowers. Luke. Karen. Billy.
Jane Harper (The Dry (Aaron Falk, #1))
The machine seemed to understand time and space, but it didn’t, not as we do. We are analog, fluid, swimming in a flowing sea of events, where one moment contains the next, is the next, since the notion of “moment” itself is the illusion. The machine—it—is digital, and digital is the decision to forget the idea of the infinitely moving wave, and just take snapshots, convincing yourself that if you take enough pictures, it won’t matter that you’ve left out the flowing, continuous aspect of things. You take the mimic for the thing mimicked and say, Good enough. But now I knew that between one pixel and the next—no matter how densely together you packed them—the world still existed, down to the finest grain of the stuff of the universe. And no matter how frequently that mouse located itself, sample after sample, snapshot after snapshot—here, now here, now here—something was always happening between the here’s. The mouse was still moving—was somewhere, but where? It couldn’t say. Time, invisible, was slipping through its digital now’s.
Ellen Ullman (The Bug)
Science is often described as an iterative and cumulative process, a puzzle solved piece by piece, with each piece contributing a few hazy pixels of a much larger picture. But the arrival of a truly powerful new theory in science often feels far from iterative. Rather than explain one observation or phenomenon in a single, pixelated step, an entire field of observations suddenly seems to crystallize into a perfect whole. The effect is almost like watching a puzzle solve itself. Varmus
Siddhartha Mukherjee (The Emperor of All Maladies)
Taking pictures is not only about the background, the colorful scenery or the beautiful era but its all about the person who is hidden in that picture with deep feelings of happiness or sorrows. Don't only rely on physical outlook inspite of it go deep down in every single pixel because a picture can show you a lot about the hidden life story of that particular personality.
Raj Kumar Koochitani
I perch atop a long, thick piece of bone-white driftwood, enjoying the stillness and the quiet, trying and failing to take a few phone pictures that might come close to capturing the feeling of energy and possibility that emanates from all around: the beach, the water, the sky. On my phone, it’s a blur of blue-black pixels. The most beautiful things never hold up on a screen.
Emily Henry (Great Big Beautiful Life)
Mine, mine. Fear, idolatry, hoarding. The delight and terror of the fetishist. Fully conscious of my folly, I’d downloaded pictures of it to my computer and my phone so I could gloat upon the image in private, brushstrokes rendered digitally, a scrap of seventeenth-century sunlight compressed into dots and pixels, but the purer the color, the richer the sense of impasto, the more I hungered for the thing itself, the irreplaceable, glorious, light-rinsed object.
Donna Tartt (The Goldfinch)
Some things just take time to process, and one must have healthy boundaries of time and space in place in order to do so. Simply put: BOUNDARIES + PROCESSING = BUFFERING Buffering is that time you spend waiting for the pixels of your life to crystallize into a clearer picture; it’s a time of reflection, a time of pause, a time for regaining your composure or readjusting your course. We all have a limited amount of mental and emotional bandwidth, and some of life’s episodes take a long time to fully load.
Hannah Hart (Buffering: Unshared Tales of a Life Fully Loaded)
The top surface of the computer is smooth except for a fisheye lens, a polished glass dome with a purplish optical coating. Whenever Hiro is using the machine, this lens emerges and clicks into place, its base flush with the surface of the computer. The neighborhood loglo is curved and foreshortened on its surface. Hiro finds it erotic. This is partly because he hasn't been properly laid in several weeks. But there's more to it. Hiro's father, who was stationed in Japan for many years, was obsessed with cameras. He kept bringing them back from his stints in the Far East, encased in many protective layers, so that when he took them out to show Hiro, it was like watching an exquisite striptease as they emerged from all that black leather and nylon, zippers and straps. And once the lens was finally exposed, pure geometric equation made real, so powerful and vulnerable at once, Hiro could only think it was like nuzzling through skirts and lingerie and outer labia and inner labia. . . . It made him feel naked and weak and brave. The lens can see half of the universe -- the half that is above the computer, which includes most of Hiro. In this way, it can generally keep track of where Hiro is and what direction he's looking in. Down inside the computer are three lasers -- a red one, a green one, and a blue one. They are powerful enough to make a bright light but not powerful enough to burn through the back of your eyeball and broil your brain, fry your frontals, lase your lobes. As everyone learned in elementary school, these three colors of light can be combined, with different intensities, to produce any color that Hiro's eye is capable of seeing. In this way, a narrow beam of any color can be shot out of the innards of the computer, up through that fisheye lens, in any direction. Through the use of electronic mirrors inside the computer, this beam is made to sweep back and forth across the lenses of Hiro's goggles, in much the same way as the electron beam in a television paints the inner surface of the eponymous Tube. The resulting image hangs in space in front of Hiro's view of Reality. By drawing a slightly different image in front of each eye, the image can be made three-dimensional. By changing the image seventy-two times a second, it can be made to move. By drawing the moving three-dimensional image at a resolution of 2K pixels on a side, it can be as sharp as the eye can perceive, and by pumping stereo digital sound through the little earphones, the moving 3-D pictures can have a perfectly realistic soundtrack. So Hiro's not actually here at all. He's in a computer-generated universe that his computer is drawing onto his goggles and pumping into his earphones. In the lingo, this imaginary place is known as the Metaverse. Hiro spends a lot of time in the Metaverse. It beats the shit out of the U-Stor-It.
Neal Stephenson (Snow Crash)
Hey Kate, why did the picture go to jail?” Kate was confused for a moment. “Huh? What? Why?”  “Because it was framed!”  “Ugh! DAD no!” Kate exclaimed.
Pixel Ate (The Accidental Minecraft Family: Book 12)
In a black-and-white picture, every little dot on the screen—the pixels—can be either black or white, and the zeros and ones are telling your computer whether to make a pixel black or white. Color pictures take more instructions because they are represented by five different possibilities: black, white, red, yellow, and cyan. That’s why color picture files are larger than black-and-white picture files—they contain more information.
Daniel J. Levitin (The Organized Mind: Thinking Straight in the Age of Information Overload)
By drawing a slightly different image in front of each eye, the image can be made three-dimensional. By changing the image seventy-two times a second, it can be made to move. By drawing the moving three-dimensional image at a resolution of 2K pixels on a side, it can be as sharp as the eye can perceive, and by pumping stereo digital sound through the little earphones, the moving 3-D pictures can have a perfectly realistic sound track. So Hiro’s not actually here at all. He’s in a computer-generated universe that his computer is drawing onto his goggles and pumping into his earphones. In the lingo, this imaginary place is known as the Metaverse. Hiro spends a lot of time in the Metaverse.
Neal Stephenson (Snow Crash)
A photograph, which used to be a pattern of pigment on a sheet of chemically coated paper, is not a string of numbers, each one representing the brightness and color of a pixel. An image captured on a 4-megapixel camera is a list of 4 million numbers-no small commitment of memory for the device shooting the picture. But these numbers are highly correlated with each other. If one pixel is bright green, the next one over likely to be as well. The actual information contained in the image is much less than 4 million numbers' worth-and it's precisely this fact that makes it possible to have compression, the critical mathematical technology that allows images, videos, music, and text to be stored in much smaller spaces than you'd think. The presence of correlation makes compression possible; actually doing it involves much more modern ideas, like the theory of wavelets developed in the 1970s and 80s by Jean Morlet, Stephane Mallat, Yves Meyer, Ingrid Daubechies, and others; and the rapidly developing area of compressed sensing, which started with a 2005 paper by Emmanuel Candes, Justin Romberg, and Terry Tao, and has quickly become its own active subfield of applied math.
Jordan Ellenberg (How Not to Be Wrong: The Power of Mathematical Thinking)
Yeah, well, I--” He stops and his eyes shift behind me, wide in amusement. I turn my head to find a couple straight out of the 1980s at the end of the gelato line. They’re both sporting mullets and faded jeans. White sneakers. When I notice the matching red fanny packs, I have to look away. “You should take a picture of that,” he says, resting his forearms on the table. “What?” I lean in closer and speak just above a whisper. “No way.” “Do it!” he insists. “Five euros.” He digs into his pocket and clanks down five coins. I sneak a peek at the unsuspecting couple. The man is wiping sweat off his face with a hanky. They’re too close. I’d never get away with it. “I can’t,” I say. “Pansy.” With a grunt, I switch my camera on and set it to automatic. I raise it to my face and start to twist my upper body. “No, wait!” he says. “You’re doing it wrong.” I drop the camera to my lap and face him. “What?” “You’re too obvious. You need stealth. Watch and learn.” He retrieves a small point-and-shoot camera from his pocket and aims it toward me. “Say cheese!” he says so loudly that I’m sure everyone around us is looking. “Uh…cheese?” “Done.” He hits a few buttons and shows me the display screen. There they are. Looked right at him too. Clever. But I can’t let him win. “Wow. That’s pretty pixelated. What kind of setting do you have that on?” He frowns. “It’s just zoomed in.” “Oh.” I reach to zoom out, but he pulls it away too fast. “What? Why can’t I see? Did you actually take a picture of me or something?” “Stealth.” He shrugs and my cheeks turn pink. “Guess these are my winnings.” The coins scrape across the table as he scoops them up to put in his pocket. “You didn’t even give me a chance to redeem myself,” I defend. “Excuses, excuses. Just admit I’m the better photographer.” He laughs, standing to shoot his empty cup in the trash. “Finished?” I nod and he tosses mine too. “Braver maybe, but better? Your camera doesn’t have enough buttons.
Kristin Rae (Wish You Were Italian (If Only . . . #2))
Pixel of Quantity makes the big picture of Quality
Kudretullah Sak
Here’s something you may not know: every time you go to Facebook or ESPN.com or wherever, you’re unleashing a mad scramble of money, data, and pixels that involves undersea fiber-optic cables, the world’s best database technologies, and everything that is known about you by greedy strangers. Every. Single. Time. The magic of how this happens is called “real-time bidding” (RTB) exchanges, and we’ll get into the technical details before long. For now, imagine that every time you go to CNN.com, it’s as though a new sell order for one share in your brain is transmitted to a stock exchange. Picture it: individual quanta of human attention sold, bit by bit, like so many million shares of General Motors stock, billions of times a day. Remember Spear, Leeds & Kellogg, Goldman Sachs’s old-school brokerage acquisition, and its disappearing (or disappeared) traders? The company went from hundreds of traders and two programmers to twenty programmers and two traders in a few years. That same process was just starting in the media world circa 2009, and is right now, in 2016, kicking into high gear. As part of that shift, one of the final paroxysms of wasted effort at Adchemy was taking place precisely in the RTB space. An engineer named Matthew McEachen, one of Adchemy’s best, and I built an RTB bidding engine that talked to Google’s huge ad exchange, the figurative New York Stock Exchange of media, and submitted bids and ads at speeds of upwards of one hundred thousand requests per second. We had been ordered to do so only to feed some bullshit line Murthy was laying on potential partners that we were a real-time ads-buying company. Like so much at Adchemy, that technology would be a throwaway, but the knowledge I gained there, from poring over Google’s RTB technical documentation and passing Google’s merciless integration tests with our code, would set me light-years ahead of the clueless product team at Facebook years later.
Antonio García Martínez (Chaos Monkeys: Obscene Fortune and Random Failure in Silicon Valley)
What do guys who successfully recover from porn-induced ED suggest? Suggestion number one is to eliminate porn, porn substitutes, and recalling the porn you watched. Or to put it another way, eliminate all artificial sexual stimulation. By artificial I mean pixels, audio and literature. No porn substitutes, such as: surfing pictures on Facebook, Snapchat or dating apps, cruising Craigslist, underwear ads, YouTube videos, ‘erotic literature’, etc. If it’s not real life, just say ‘no’. Content isn’t as much the issue as whether you are mimicking the behaviours that wired your brain to need novel, screen-based stimulation. The second suggestion is to rewire your sexual arousal to real people. While this helps everyone recover, it may be a key component for young men with little or no sexual experience. This does not mean that you need to have sex to rewire. In fact, slowly getting to know someone is probably the best path. Hanging out, touching, and making out help connect sexual arousal and affection to a real person, and may be essential to recovery.
Gary Wilson (Your Brain On Porn: Internet Pornography and the Emerging Science of Addiction)
Today mammography requires an expensive, large, stationary machine that takes a crude, two-dimensional picture. But imagine a ‘bra’ that has tiny X-ray pixel emitters on the top and X-ray sensors on the bottom. It’s self-contained, self-powered, has a 3G or Wi-Fi-enabled network, and can be shipped to a patient in a FedEx box. The patient puts on the bra, pushes a button, and the doctor comes online and starts talking: ‘Hi. All set to take your mammogram? Hold still.’ The X-ray pixels fire, the detectors assemble and transmit the image, and the doctor reads it on the spot. The patient ships back the package, and she’s done. With little time and little money.
Peter H. Diamandis (Abundance: The Future is Better Than You Think)
My “big idea” was to use the VersaWriter to mark end points of lines into the computer rather than storing the picture pixel by pixel.
Ken Williams (Not All Fairy Tales Have Happy Endings: The rise and fall of Sierra On-Line)
Maybe a picture will emerge from the pixels.
E. Lockhart (We Were Liars)
Hiro’s view of Reality. By drawing a slightly different image in front of each eye, the image can be made three-dimensional. By changing the image seventy-two times a second, it can be made to move. By drawing the moving three-dimensional image at a resolution of 2K pixels on a side, it can be as sharp as the eye can perceive, and by pumping stereo digital sound through the little earphones, the moving 3-D pictures can have a perfectly realistic sound track. So Hiro’s not actually here at all. He’s in a computer-generated universe that his computer is drawing onto his goggles and pumping into his earphones. In the lingo, this imaginary place is known as the Metaverse. Hiro spends a lot of time in the Metaverse.
Neal Stephenson (Snow Crash)
Buffering is that time you spend waiting for the pixels of your life to crystallize into a clearer picture; it's a time of reflection, a time of pause, a time for regaining your composure or readjusting your course. We all have a limited amount of mental bandwidth, and some of life's episodes take a long time to fully load.
Hannah Hart (Buffering: Unshared Tales of a Life Fully Loaded)
Buffering is that time you spend waiting for the pixels of your life to crystallize into a clearer picture; it's a time of reflection, a time of pause, a time for regaining your composure or readjusting your course.We all have a limited amount of mental and emotional bandwidth, and she of life's episodes take a long time to fully load.
Hannah Hart (Buffering: Unshared Tales of a Life Fully Loaded)
There is no, 'big' picture. We are the ones, who are interwoven into the infinitely intricate tapestry of one creation. Our thoughts, words, and actions, at every moment, bring changes to this forever-changing, and therefore, never changing, picture, pixel by pixel, thread by thread, moment by moment.
Sama Akbar
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