Image-Identification Methods for Camera-Equipped Mobile Phones
Takehito Abe, Tomonori Takada, Harumi Kawamura, Takayuki Yasuno, Noboru Sonehara · 2007
As the availability and distribution of content through the medium of networks is increasing, the need for information-search technology keyed to content for the purposes of marketing, searching, and managing it is also constantly increasing. This paper proposes methods of extracting image features that can be used as content ID information, and of identifying identical images as keys to these features. As a result of experiments done on images, to which noise and lighting effects had been added, results were obtained that demonstrated better identification using our methods than that with existing ones. Further, the possibility of timely, efficient ID was also demonstrated in low-resource environments using mobile phones equipped with a camera.