Posts tagged: apple

Content-Aware Image Resizing Goes to iPhone

Content-aware image resizing (also called content-aware image retargeting, content-aware image scaling) is to enlarge or reduce the size of an image with minimum distortion of salient or important areas of the image. This is a very useful image processing feature for professional photography, online publishing and handheld-device display. 

Adobe Photoshop CS4 has recently released with a new feature, content-aware scaling. A recent iPhone application, PicTricks, also provides a feature of content-aware image resize, Magic Resize
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Apple’s iPhoto vs. Google’s Picasa: Technology and Strategy

With the closure of Macworld’09, Apple unveiled enhanced iPhoto software with facial recognition. iPhoto allows to keep track of your photos by “who, where, and when” with facial recognition and Geo-tagging. It also allows to enhance/edit your photos and share them online or in print. 

Each piece of the software is not new, for example, Google Picasa released their facial recognition feature on early September of 2008. How could Apple’s iPhoto compete with Google’s Picasa, considering Picasa is totally free to end users? Steve Jobs again fully leverages his vision and Apple’s strengths in technology (Human-Computer Interaction – HCI and Computer Vision) and System Integration for business.
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More iPhone Apps Using Computer Vision and Image Processing Technology

Since our previous post, Mobile Vision: iPhone Apps Employ Computer Vision and Image Processing Techs, more iPhone applications using computer vision and image processing technology have come out. Here we review two more apps.

  1. SnapTell: Tell the price, store, or online website of a CD/DVD/Book/Video Game with a photographed cover image. This is an image retrieval/recognition problem.
  2. CubeCheater: Solve your puzzle cube with six pictures taken for each face of the cube. It uses image segmentation and blob detection technology.

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Google and Microsoft Image Search by Content

Image search is going to an era of search-by-content (such as color, shape, texture, style, objects, etc) instead of search-by-text-context, as described in one of our previous posts, Visual Search Engines: The Future Seach Engines. Following Microsoft’s release of image search by content (color, style (illustration or photograph), or face) at the beginning of this month, Google today also announced their image search product by style (Clip art, Line drawings, and Photo content). I am happy to see more and more computer vision technologies are used in leading search engines.  

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Mobile Vision: iPhone Apps Employ Computer Vision and Image Processing Techs

There are around 10,000 applications from third-party developers for Apple iPhones by the end of 2008. Among them, there are a number of camera/photo-related applications for you to play with. You will be amazed by how computer vision and image processing technologies could deliver you astonishing visual effects and fun, even with a 2MP mobile camera. Some of them offers a set of image editing functionalities like Adobe Photoshop,  such as image enhancement, image filtering, image/video editing, etc. Others use more advanced and complex computer vision technologies, such as object detection/recognition and image retrieval. Here we will review some of the top computer vision apps for iPhone and their core technologies.

 

 

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