• Title/Summary/Keyword: Color QR code

Search Result 12, Processing Time 0.015 seconds

Technological Tendency for 2D Image Code and Its Recognition on Mobile Phone (휴대전화의 2D 이미지코드 인식 기술동향)

  • Park, Jong-Man;Park, Jong-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.36 no.6B
    • /
    • pp.663-673
    • /
    • 2011
  • Applications of two dimensional image codes like QR and color code on mobile phone are spreading widely and in lieu of that, better decoding technology and platform designs are required. Futhermore "Bokode" technology which recognizes the defocus-blur image information from imperceptible visual tiny code on ordinary digital camera has been announced newly. There is an urgent need for competitive strategies to activate 2D image code industry and R&D under smart environment. This paper focused on suggesting valuable idea and practical task through investigation and analysis required for supporting of thus strategy construction. Description consist of introduction, technological tendency for R&D, patent and market, implementation task, conclusion and suggestion.

An Image Retrieving Scheme Using Salient Features and Annotation Watermarking

  • Wang, Jenq-Haur;Liu, Chuan-Ming;Syu, Jhih-Siang;Chen, Yen-Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.8 no.1
    • /
    • pp.213-231
    • /
    • 2014
  • Existing image search systems allow users to search images by keywords, or by example images through content-based image retrieval (CBIR). On the other hand, users might learn more relevant textual information about an image from its text captions or surrounding contexts within documents or Web pages. Without such contexts, it's difficult to extract semantic description directly from the image content. In this paper, we propose an annotation watermarking system for users to embed text descriptions, and retrieve more relevant textual information from similar images. First, tags associated with an image are converted by two-dimensional code and embedded into the image by discrete wavelet transform (DWT). Next, for images without annotations, similar images can be obtained by CBIR techniques and embedded annotations can be extracted. Specifically, we use global features such as color ratios and dominant sub-image colors for preliminary filtering. Then, local features such as Scale-Invariant Feature Transform (SIFT) descriptors are extracted for similarity matching. This design can achieve good effectiveness with reasonable processing time in practical systems. Our experimental results showed good accuracy in retrieving similar images and extracting relevant tags from similar images.