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'Thinking' computers taught 330 English words to help tag caption less pics
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'Thinking' computers taught 330 English words to help tag caption less pics

Washington, Nov 2: US researchers have successfully taught computers to interpret images using a vocabulary of up to 330 English words.

The development is a boon for millions of Internet users, as the system can be used to automatically annotate entire online collections of photographs that are uploaded. This means that internet users can save significant time as otherwise they have to manually tag or identify their

The system will also help major search engines as they currently rely on uploaded tags of text to describe images. There is a huge collection of photographs on the web which are not annotated.

The computer can now describe a photograph of two polo players, for instance, "sport," "people," "horse," "polo."

The system called ALIPR system-Automatic Linguistic Indexing of Pictures-Real Time provides text tags to images making those untagged images visible to Web users.

ALIPR does this by analyzing the pixel content of images and comparing that against a stored knowledge base of the pixel content of tens of thousands of image examples. The computer then suggests a list of 15 possible annotations or words for the image.

"By inputting tens of thousands of images, we have trained computers to recognize certain objects and concepts and automatically annotate those new or unseen images. More than half the time, the computer's first tag out of the top 15 tags is correct," said James Wang, associate professor in the Penn State College of Information Sciences and Technology, and one of the technology's two inventors.

However the system also has a limitation as computers trained with their algorithms have difficulties when photos are fuzzy or have low contrast or resolution; when objects are shown only partially; and when the angle used by the photographer presents an image in a way that is different
than how the computer was trained on the object. More training images as well as improving the training process may reduce these limitations.

The system is described in a paper, "Real-Time Computerized Annotation of Pictures," and authored by Jia Li, associate professor, Department of Statistics, and Wang.

--- ANI

Article Title: 'Thinking' computers taught 330 English words to help tag caption less pics

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