With the development of multimedia technology and digital devices, it is increasingly easier to photograph a high quality image. Due to the facility of capture process, recapture phenomenon becomes popular, which is harmful sometimes. In this paper, an effective recaptured image forensics algorithm through color moments and DCT coefficients features is proposed. Central moments in chromatic spa...

T o many people in this community, “multimedia” means multiple digitalmedia types, such as audio, images, and video. From audio/visual (AV) media, researchers can extract various AV features—for example, melfrequency cepstral coefficients (MFCC) from audio, color moments from images, or motion vectors from videos—to represent the AV multimedia. Significant research has been done in feature extr...

Point clouds acquired by RGB-D camera-based indoor mobile mapping system suffer the problems of being noisy, exhibiting an uneven distribution, and incompleteness, which are the problems that introduce difficulties for point cloud planar surface segmentation. This paper presents a novel color-enhanced hybrid planar surface segmentation model for RGB-D camera-based indoor mobile mapping point cl...

In order to improve the recognition accuracy of cucumber diseased image, a new method based on image preprocessing and extraction of texture feature had been proposed, which making full use of color information included in cucumber image. At first, vector median filter for color images was applied to remove noise, and then chromaticity moments were extracted as texture feature. Experimental res...

We use a skin color model based on the Mahalanobis metric and a shape analysis based on invariant moments to automatically detect and locate human faces in two-dimensional natural scene images. First, color segmentation of an input image is performed by thresholding in a perceptually plausible hue-saturation color space where the effects of the variability of human skin color and the dependency...

The aim of a Content-Based Image Retrieval (CBIR) system, also known as Query by Image Content (QBIC), is to help users to retrieve relevant images based on their contents. CBIR technologies provide a method to find images in large databases by using unique descriptors from a trained image. The image descriptors include texture, color, intensity and shape of the object inside an image. Several ...

A remarkably simple color constancy method was recently developed, based in essence on the Gray-Edge method, i.e., the assumption that the mean of color-gradients in a scene (or colors themselves, in a Gray-World setting) are close to being achromatic. However this new method for illuminant estimation explicitly includes the important notions that (1) we cannot hope to recover illuminant streng...

This paper proposes a novel image retrieval algorithm using local color feature of image sub-block and global texture and shape features. Image sub-blocks are identified by partitioning the image into blocks. Color Texture and shape are the low level image descriptor in Content Based Image Retrieval. These low level image descriptors are used for image representation and retrieval in CBIR. In t...

In this paper, we have built two binary classifiers for indoor/outdoor and city/landscape categories, respectively. The proposed classifiers consist of robust visual feature extraction that feeds a support vector classification. In the case of indoor/outdoor classification, we combine color and texture information using the first three moments of RGB color space components and the low order sta...