Makoto Fujimura

Image Content Detection Method Using Correlation Coefficient between Pixel Value Histograms

An extraction method for searching for unauthorized copies of an image on the Internet is required in image search to make use of digital watermarks. In this paper, we propose an efficient two-stage image search method for extraction of illegal copies of a target image. The first stage is a pre-search, which searches for candidate of illegal images by some simple method. The next stage is the main search, which extracts embedded copyright information from the candidate and decides whether the image is an illegal copy of the target. In addition, we propose a simple image search method which uses the correlation coefficient between pixel value histograms of images as a pre-search method. The proposed pre-search method is useful because the proposed method is possible to combine with the current extraction technologies of embedded information. The performance of the proposed pre-search method is evaluated through computer simulations.

Automatic extraction of eye and mouth fields from monochrome face image using fuzzy technique

Because a persons eyes and mouth play an important role in expressing his intention and feeling, many researches on automatic extraction of eye and mouth areas are being carried out. One common conventional method, which uses intensity information, needs a good light condition so that the facial images will not be affected by noise like shadows. In this paper, we present an extraction method which can extract eye and mouth areas even there is noise present in these areas. In the method, (1) Coarse field classification is performed with a membership function which shows the degree of similarity between two adjacent pixel values. (2) For every segmented field fine clustering is performed with fuzzy c-means to determine the area which includes eye or mouth. (3) Because the area including eye or mouth may also include noise like eyebrow or shadows, the average pixel value of each segmented field is adjusted by its distance to the center of guessed field of eye or mouth to remove the noise. An experiment using this method was performed and the satisfactory result was obtained.

Study on Seam Carving for Image Fingerprint

In past several years many image contents are distributed via internet. But illegal copy problem are rise up. Multimedia fingerprint techniques are tools for resist illegal copy. However today collusion attack such as average attack is appeared. Collusion attack is efficient method for breaking copyright protection scheme of image fingerprint. This paper presented an image fingerprint scheme to resistant collusion attack which is average attack especially. Proposed image fingerprint scheme is applied seam carving technique. Experimental results show that proposed image fingerprint scheme was good performance.

A clustering method by code vectors considering attractive and repulsive force based on maximum distance of k neighbors

When noise data is included, the clustering method based on code vectors considering attractive and repulsive force can not precisely classify data. In this paper, we propose the clustering method based on code vectors considering attractive and repulsive force which can precisely classify data even when noise data is included.

Social Media Mediation System for Elderly People: Message Exchange Learning Type Switching Method

We proposed the Social Media Mediation Systemwhich can be used for the interactive communication betweenelderly people and younger generation via existed social media. In this system, we found out the problem that was the difficultyof inputting a message destination address by elderly people. Therefore, we propose a message exchange learning typeswitching method that enables elderly people not to input amessage destination address explicitly. This method is based onthe machine learning algorithm which performs the messagedestination decision according to message contents of elderlypeople. We developed a machine learning algorithm inferenceplatform to find out the suitable machine learning algorithm forthis purpose. Through inference experiments using this platform, we confirmed three machine learning algorithm candidateswhich could be suitable for the message exchange learning typeswitching method.

Mosaic-like reconfiguration scheme of video for resistance to average value attack

Recent years have witnessed a drastic rise in the number of video and image hosting sites, which provide and distribute image and video content on the Internet. In this context, several digital watermarking techniques have been investigated in order to prevent illegal duplication and distribution of such content. Illegal users in turn attempt to remove digital watermarks from such content, and collusion attacking methods, such as an average value attack, constitute a serious threat to digital watermarks. In previous research, we proposed a mosaic-like reconfiguration scheme for static images to resist average value attacks. The reconfiguration scheme comprises two components: a line clipping part that eliminates seam lines from an original image signal, and a line adding part that adds seam lines to the image signals of the preceding part. In this paper, we adapt this scheme to video signals.

A study on pseudo-haptics by cursor moving with motion blur

Pseudo-haptics is illusion haptics sensation by modification of motion of cursor with pointing device such as mouse manipulated by hand. Also, motion blur is a photographic effect that captures a moving body of matter and the static expression of fast movement of an object. We inform the measurements which are pseudo-haptics effect of pointing device cursor moving with motion blur.

Search Method Using the Pixel Value Histogram of ROI for Illegal Copy Image with Geometric Attacks

It is very difficult to search the ornament attacked image, since added context into the attacked image by ornament is different from original image. In this paper, it is noted that the process of the decorative frame is applied to the peripheral region of the image, we propose introduction of a mask image to be limited to ROI (region of interesting) for image searching. That is, using the mask image, and measuring the histogram of pixel values in the ROI of each search target image and the original image, then calculate the correlation coefficient between the two histograms. In addition, with respect to the rotation and scaling attack any, we propose a method for determining the amount of the attack. Computer simulation results show the validity of proposed algorithm.

Considerations of Image Compression Scheme Hiding a Part of Coded Data into Own Image Coded Data

In this paper, it is considered the image compression scheme, in which a part of coded data extracted in the coding process is hidden into the other parts of coded data of own image, especially into the block address data of the best matching block within restricted blocks. The proposed scheme is able to be used in a fractal image coding in which the best matching domain block is searched, in a vector quantization in image coding in which the best matching vector is searched, and in motion compensation of moving picture in which the best matching motion vector is searched. We study each image coding method and consider the features of each coding method using the proposed scheme.

A novel image compression method using watermarking technique in JPEG coding process

Watermarking is a technique used to embed copyright information in an image. In this paper, we propose a novel image compression method which embeds a part of the coding parameters, instead of the copyright information, into an own image. The proposed method is adapted for the JPEG coding process. In the proposed method for JPEG, the DC coefficients of the DCT transform are embedded into low-to-middle frequency terms of the AC coefficients. Therefore, the DC coefficients need not be transmitted separately, which results in less data being needed for encoding. On the decoder side, first, the data for the DC coefficients embedded in AC coefficients is extracted. After this, the data of the DC and AC coefficients allows for the reconstruction of the image. Experiments on the relation between data compression ratio and PSNR using a quantization scale factor as parameter are carried out. The experimental results show that the proposed method has achieved a 3.65% reduction of the quantity of image data, compared with the standard JPEG method, while maintaining nearly the same image quality.