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mrkn id:mrkn

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mrkn 2017/10/12
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image_processing
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mrkn 2017/07/20
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image_processing
ãƒªãƒ³ã‚¯
Image Super-Resolution Using Deep Convolutional Networks
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented as a deep convolutional neural network (CNN) that takes the low-resolution image as the input and outputs the high-resolution one. We further show that traditional sparse-coding-based SR methods can also be vie
mrkn 2015/05/26
machine_learning

deep_learning

cnn

waifu2x

image_processing
ãƒªãƒ³ã‚¯
What makes for effective detection proposals?
Current top performing object detectors employ detection proposals to guide the search for objects, thereby avoiding exhaustive sliding window search across images. Despite the popularity and widespread use of detection proposals, it is unclear which trade-offs are made when using them during object detection. We provide an in-depth analysis of twelve proposal methods along with four baselines reg
mrkn 2015/03/11
æœ€åˆã¨æœ€å¾Œã ã‘èªã‚“ã ã€‚12ã®æ‰‹æ³•ã‚’æ¯”è¼ƒã—ãŸã‚‰ã©ã‚Œã‚‚åŒã˜é•·æ‰€ã¨çŸæ‰€ã‚’æŒã£ã¦ã„ãŸã®ã ãŒã€ãã®ä¸ã§é¸ã¶ãªã‚‰ SelectiveSearch ãŒè‰¯ã•ãã†ã€‚é€Ÿã•ãŒé‡è¦ãªã‚‰ EdgeBox ãŒè‰¯ã„ã‚‰ã—ã„ã€‚BING ã¯ãƒ€ãƒ¡ãã†ã€‚

object_detection

image_processing
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Evaluating Object Proposals
mrkn 2015/03/11
ç‰©ä½“å€™è£œã®è©•ä¾¡

ã‚ã¨ã§èªã‚€

image_processing

object_detection
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BING: Binarized Normed Gradients for Objectness Estimation at 300fps
Ming-Ming Cheng1 Â Â Â Â Â Ziming Zhang2Â Â Â Â Wen-Yan Lin3Â Â Â Â Â Â Philip Torr1 1The University of Oxford Â Â Â 2Boston University Â Â Â 3Brookes Vision Group Abstract Training a generic objectness measure to produce a small set of candidate object windows, has been shown to speed up the classical sliding window object detection paradigm. We observe that generic objects with well-defined closed b
mrkn 2015/02/25
image_processing

object_recognition

bing

objectness
ãƒªãƒ³ã‚¯
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mrkn 2015/02/25
è¿‘ä¼¼

image_processing

object_recognition
ãƒªãƒ³ã‚¯
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mrkn 2014/12/08
deep_learning

image_processing
ãƒªãƒ³ã‚¯
javascript - ã§ bilateral filter (é¸æŠžçš„ã‚¬ã‚¦ã‚¹ã¼ã‹ã—)ã‚’å®Ÿè£…ã—ã¦ã¿ãŸ : 404 Blog Not Found
2012å¹´09æœˆ06æ—¥18:03 ã‚«ãƒ†ã‚´ãƒªã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ç™¾é¸Math javascript - ã§ bilateral filter (é¸æŠžçš„ã‚¬ã‚¦ã‚¹ã¼ã‹ã—)ã‚’å®Ÿè£…ã—ã¦ã¿ãŸ HTML5 Canvas Steve Fulton / Steve Fulton / å®‰è—¤ æ…¶ä¸€è¨³ [åŽŸè‘—:HTML5 Canvas] ã€Œé¸æŠžçš„ã‚¬ã‚¦ã‚¹ã¼ã‹ã—ã€ãŒãˆã‚‰ã„æ°—ã«å…¥ã£ãŸã®ã§ã€ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®å¦ç¿’ã‚‚å…¼ãã¦JavaScriptã§ã‚„ã£ã¦ã¿ãŸã‚‰æ€ã„ã®ä»–ä½¿ã„ç‰©ã«ãªã‚Šãã†ã¨ã„ã†ã“ã¨ã§ã€‚ Demo: File APIã‚’å®Ÿè£…ã—ã¦ã„ã‚‹ãƒ–ãƒ©ã‚¦ã‚¶ãƒ¼ã§å‹•ãã¾ã™ã€‚IEã®æ–¹ã”ã‚ã‚“ãªã•ã„ã€‚IEã ã¨10ä»¥é™ã«ãªã‚Šã¾ã™ã€‚å°ã•ã‚ã®ãƒ•ã‚¡ã‚¤ãƒ«ã‚’èªã¿è¾¼ã¾ã›ã¦ä¸‹ã•ã„ã€‚1024*1024ãƒ”ã‚¯ã‚»ãƒ«ã‚’ä¸€å¿œã®ä¸Šé™ã«è¨å®šã—ã¦ã‚ã‚Šã¾ã™ã€‚(è¿½è¨˜2021.11.29:ä¸Šé™ã‚’16Mãƒ”ã‚¯ã‚»ãƒ«ã¾ã§ä¸Šã’ã¾ã—ãŸã€‚ãã®ä»–CSSå‘¨ã‚Šä¿®æ£) Info: Source: Radius: Thr
mrkn 2012/09/09
image_processing
ãƒªãƒ³ã‚¯
Engadget | Technology News & Reviews
The 5 best Mint alternatives to replace the budgeting app that shut downIntuit has shut down the popular budgeting app Mint. Engadget tested a bunch of popular alternatives. Here are our favorites. The best midrange smartphone for 2025Here's a list of the best midrange smartphones you can buy, as chosen by Engadget editors.
mrkn 2012/07/05
technology

algorithm

ã“ã‚Œã¯ã™ã”ã„

image_processing
ãƒªãƒ³ã‚¯
How do I find Waldo with Mathematica?
This was bugging me over the weekend: What is a good way to solve those Where's Waldo? ['Wally' outside of North America] puzzles, using Mathematica (image-processing and other functionality)? Here is what I have so far, a function which reduces the visual complexity a little bit by dimming some of the non-red colors: whereIsWaldo[url_] := Module[{waldo, waldo2, waldoMask}, waldo = Import[url]; wa
mrkn 2012/04/05
ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã§ã‚¦ã‚©ãƒ¼ãƒªãƒ¼ã‚’æŽ¢ã™ã‚¹ãƒ¬ã€‚ã‚¦ã‚©ãƒ¼ãƒªãƒ¼ãŒåŒ—ç±³ã§ Waldo ã¨å‘¼ã°ã‚Œã¦ã„ã‚‹äº‹ã‚’åˆã‚ã¦çŸ¥ã£ãŸã€‚

algorithm

image_processing

complexity

mathematica
ãƒªãƒ³ã‚¯
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mrkn 2011/10/15
technology

image_processing

broadcast

cookpad
ãƒªãƒ³ã‚¯
http://www.doggelganger.co.nz/
mrkn 2011/06/22
dog

technology

image_processing
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mrkn 2011/05/07
image_processing

image_recognition

contest
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mrkn 2011/02/09
technology

aist

image_processing
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mrkn 2011/02/06
science

photo

camera

human

image_processing
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OptiPNG Home Page
optiPNG is a PNG optimizer that recompresses image files to a smaller size, without losing any information. This program also converts external formats (BMP, GIF, PNM and TIFF) to optimized PNG, and performs PNG integrity checks and corrections. If you wish to learn how PNG optimization works, or to know about other similar tools, see the PNGÂ Tech article A guide to PNG optimization. DOWNLOAD opti
mrkn 2011/02/04
image_processing

png

optimization
ãƒªãƒ³ã‚¯
ãƒãƒ•å¤‰æ› - Wikipedia
ãƒãƒ•å¤‰æ›ï¼ˆãƒãƒ•ã¸ã‚“ã‹ã‚“ã€Houghå¤‰æ›ï¼‰ã¯ã€ãƒ‡ã‚¸ã‚¿ãƒ«ç”»åƒå‡¦ç†ã§ç”¨ã„ã‚‰ã‚Œã‚‹ç‰¹å¾´æŠ½å‡ºæ³•ã®ä¸€ã¤ã§ã‚ã‚‹ã€‚å¤å…¸çš„ã«ã¯ç›´ç·šã®æ¤œå‡ºã‚’è¡Œã†ã‚‚ã®ã ã£ãŸãŒã€æ›´ã«ä¸€èˆ¬åŒ–ã•ã‚Œã¦æ§˜ã€…ãªå½¢æ…‹ã«å¯¾ã—ã¦ç”¨ã„ã‚‰ã‚Œã¦ã„ã‚‹ã€‚ç¾åœ¨åºƒãç”¨ã„ã‚‰ã‚Œã¦ã„ã‚‹å¤‰æ›æ³•ã¯en:Richard DudaåŠã³en:Peter HartãŒ1972å¹´ã«ç™ºæ˜Žã—ãŸã€Œä¸€èˆ¬åŒ–ãƒãƒ•å¤‰æ›ã€ã§ã‚ã‚‹ã€‚ã“ã®åã¯1962å¹´ã«en:Paul HoughãŒå¾—ãŸé–¢é€£ã™ã‚‹ç‰¹è¨±ã«ç”±æ¥ã™ã‚‹ã€‚ã“ã®å¤‰æ›æ³•ã¯1981å¹´ã®en:Dana H. Ballardã®è«–æ–‡ "Generalizing the Hough transf orm to detect arbitrary shapes"ï¼ˆã€Œ ãƒãƒ•å¤‰æ›ã®ä¸€èˆ¬åŒ–ã«ã‚ˆã‚‹ä»»æ„ã®å½¢æ…‹ã®æ¤œå‡ºã€ï¼‰ã«ã‚ˆã£ã¦ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ãƒ“ã‚¸ãƒ§ãƒ³ã®é ˜åŸŸã§åºƒãç”¨ã„ã‚‰ã‚Œã‚‹ã‚ˆã†ã«ãªã£ãŸã€‚ ã„ã‹ãªã‚‹ç‚¹ã‚’ã¨ã£ã¦ã‚‚ã€ãã®ç‚¹ã‚’é€šã‚‹ç›´ç·šã¯ç„¡é™å€‹å˜åœ¨ã—ã€ãã‚Œãžã‚ŒãŒæ§˜ã€…ãªæ–¹å‘ã‚’å‘ããŒã€ã“ã‚ŒãŒãƒãƒ•å¤‰
mrkn 2011/01/14
computer_graphics

image_processing

hough_transform
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Blargg's NTSC Libraries
The libraries are written in porta ble C and licensed under the GNU Lesser General Public License (LGPL). They should work well even with older compilers and have been compiled on the following platforms: Windows, Linux, and Mac OS. An archive of previous releases is available in case the latest version doesn't work. Post to the discussion forum for help or to give feedback. All filters use an opti
mrkn 2011/01/02
ntsc

image_processing
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æœ¬ã®è™«: Dark_Shikariã€WebPã«ã¤ã„ã¦èªžã‚‹
Diary Of An x264 Developer Â» H.264 and VP8 for still image coding: WebP? H.264ã®ã‚¨ãƒ³ã‚³ãƒ¼ãƒ€ãƒ¼ã€x264ã®é–‹ç™ºè€…ã®ä¸€äººã§ã‚ã‚‹ã€Dark_Shikariæ°ãŒã€WebPã«ã¤ã„ã¦èªžã£ã¦ã„ã‚‹ã€‚åŸºæœ¬çš„ã«ã€WebPè¦æ ¼è‡ªä½“ã¯æ‚ªããªã„ã®ã ãŒã€å…¬å¼ã®ã‚¨ãƒ³ã‚³ãƒ¼ãƒ€ãƒ¼ã§ã‚ã‚‹libvpxãŒã‚¯ã‚½ã™ãŽã‚‹ã€‚ Dark_Shikariæœ¬äººæ›°ãã€ã¾ã è¿½è¨˜ã™ã‚‹ã‹ã‚‚ã—ã‚Œãªã„ã¨ã®ã“ã¨ã€‚ä»Šã¯å®Œå…¨ã«ä¸€è‡´ã—ã¦ã„ã‚‹ãŒã€å¿µã®ãŸã‚ãƒªãƒ³ã‚¯å…ˆã®ç¿»è¨³å…ƒï¼ˆè‹±èªžï¼‰ã‚’å‚ç…§ã™ã‚‹ã“ã¨ã‚’ãŠã™ã™ã‚ã™ã‚‹ã€‚ JPEGã¯ã‹ãªã‚Šæ˜”ã®åœ§ç¸®ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã§ã€ã‚ã¾ã‚Šã‚ˆã‚ã—ããªã„ã€‚å®Ÿéš›ã®ã¨ã“ã‚ã€MPEG-2æ™‚ä»£ã®å‹•ç”»ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã§ã™ã‚‰ã€JPEGã«ã¯å‹ã¦ã‚‹ã€‚ãªãœçš†ãŒç§»è¡Œã—ãªã„ã®ã‹ã¨ã„ã†ã®ã¯ã€å˜ç´”ã ã€‚ç‰¹ã«åˆ©ç‚¹ãŒãªã„ã‹ã‚‰ã ã€‚ãŸã¨ãˆJPEGã‚ˆã‚Š2å€ã™ãã‚Œã¦ã„ãŸã¨ã—ã¦ã‚‚ã€å…¨ä¸–ç•Œã«å¯¾ã—ã¦ã€20å¹´é–“ä½¿ã„æ…£ã‚ŒãŸç”»åƒãƒ•ã‚©
mrkn 2010/10/01
jpeg

h264

webp

google

image_processing
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