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Carrimebac, the Town That Walked

為了解決Sony quality的問題，作者Moore, David Barclay 這樣論述：

David Barclay Moore, an author and filmmaker, won a John Steptoe New Talent Author Award for his debut novel, The Stars Beneath Our Feet, which was optioned as a film by Michael B. Jordan. Born and raised in Missouri, he has done work with Sony, Harlem Children’s Zone, and Quality Services for the A

utism Community. David Barclay Moore is based in Brooklyn. John Holyfield is a renowned fine artist and illustrator of numerous books for young readers, including Belle, the Last Mule at Gee’s Bend by Calvin Alexander Ramsey and Bettye Stroud, Meet Miss Fancy by Irene Latham, Mahalia Jackson: Walkin

g with Kings and Queens by Nina Noland, and The Hallelujah Flight by Phil Bildner. John Holyfield lives in Virginia.

Sony quality進入發燒排行的影片

A case study of business model innovation on E-commerce Start-up in Thailand

為了解決Sony quality的問題，作者Peeraya Ploykaew 這樣論述：

An E-commerce transaction occurs over the internet between a buyer and seller. Thailand is one of the fastest growing e-commerce markets due to its highly urbanised population and busy lifestyle. As people's lives become busier, both men and women are juggling many roles, including working, sociali

sing, raising a family, etc. It is also the advent of technology that has made people aware of the convenience they have received, as technology has been evolving to make life easier and more convenient. As a result, it encourages problem behaviours or addiction to convenience and emerges a new econ

omy which is called lazy economy. This case study aims to provide a comprehensive analysis of "Shopee Thailand," Thailand's biggest e-commerce platform. With the help of primary interview and secondary data, the fundamental principles of E-commerce startup, business model innovation, market and comp

any overview, and Lean business model framework are provided throughout this paper.

The Black Leopard: My Quest to Photograph One of Africa’’s Most Elusive Big Cats

為了解決Sony quality的問題，作者Burrard-Lucas, Will 這樣論述：

Will Burrard-Lucas is a British wildlife photographer. He spent part of his childhood in Tanzania where he first developed a love of nature. He developed an interest in photography whilst at university and shortly thereafter, started focusing his lens on the natural world. He became a full-time phot

ographer in 2010. Burrard-Lucas is an advocate for wildlife conservation and works with various conservation non-governmental organizations, including WWF, African Parks, the Tsavo Trust in Kenya, and the Ethiopian Wolf Conservation Programme. He founded the website WildlifePhoto.com to provide natu

re photographers with online services, products, and educational resources, and in 2009, Burrard-Lucas created the BeetleCam, a remote-control camera buggy which enables photographers to take close-up photographs of wildlife. He later created a high-quality camera trap system for photographing rare

and nocturnal animals, and is the founder of Camtraptions, a company specializing in products for remote and camera trap photography. His work has been featured by numerous international media outlets including The New York Times, the Guardian, the Telegraph, the Washington Post, National Geographic

, CNN and BBC. Since 2015, Burrard-Lucas has focused on a long-term project to reveal African wildlife at night creating and using new photography techniques. His resulting work has been recognized in several international photography awards including GDT European Wildlife Photographer of the Year (

2016, 2017), Sony World Photography Awards (2017), Travel Photographer of the Year (2019) and Siena International Photo Awards (2019).

基於色彩味覺之自動化深度調色研究

為了解決Sony quality的問題，作者楊怡群 這樣論述：

色彩是影像敘事的關鍵要素之一，影視製作的色彩設計在前置階段就已開始；美術指導針對劇情調性做場景的色彩設計，妝髮會做測試，戲服會配合場景及劇情作色彩搭配，攝影指導決定畫面構圖、燈光呈現的方式等，這些都會對整部影視作品的色彩及質感產生影響。殺青後將設計好的色彩交由調光師將所有的色彩及質感設計做最完美的呈現，憑著豐富經驗所累積的美學藝術營造特定情緒氛圍，引導觀眾走入劇情裡。因此，調光師在影視的後期製作裡扮演著極其重要的角色。近年來，隨著OTT（over-the-top）與自媒體的盛行，各播映平台對於影像作品的需求量大增，但後期調色耗時、費工且費用昂貴，因此，若能設計自動化的調色方法必定能解決這些問

題。本研究將學術與實務結合，透過深度學習（Deep Learning）的方式，設計一套自動化的一級調色（Primary Color Grading）方法，以味覺中的酸、甜、苦、辣色調風格作為深度學習的目標。在客觀的效果評估方面，峰值信噪比（Peak Signal to Noise Ratio, PSNR）的數值皆在20以上，另外，在結構相似性指標（Structural Similarity Index Measure, SSIM）方面，數值都接近1，足證用此方法能產製出優良的色調影像品質。在主觀評估上，受測者觀看自動化深度調色（Deep Color Grading）的動態影像後，因色彩共感覺（

Chromes Thesia）的作用而有高達82%的色彩味覺識別率，皆能指出該色調所要傳達的味道，這意味著此方法所產製出的色調風格受大眾認同。此外，相較於人工調色的動態影像，雖然總體分數深度調色只有32.81%的認同度，但其中苦味深度調色的認同度卻比人工調色高出26%，證明此方法有很大的進步空間與潛能。綜觀之，本研究所設計的自動化深度調色方法具有相當大的可行性，雖然目前無法直接應用於調色作業，但可以為非色彩專業者產出參考圖像。