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In this paper, we propose a new divide-and-conquer based method, called fusion of multiple binary age-grouping-estimation systems, for human facial age estimation. Under a specific constraint, such as a given facial feature or classification/regression method, what is the better framework for age estimation? First we employ multiple binary-grouping systems for age group classification. Each face image...
This paper presents a comparison study on subjective quality scores obtained by both single stimulus (without reference) and triple stimulus (with reference) methods. The TID2013 database is reevaluated by single stimulus approach, which is realized by absolute category rating (ACR). And the mean opinion score (MOS) provided along with TID2013 represents the results from triple-stimulus pair comparison...
This work presents a novel facial makeup detection method, which includes four steps: entropy information computation, feature extraction, feature selection and classification. To carry out this objective, first all face images are subject to the entropy information computation. Once the entropy images of faces are obtained, a feature extraction step is applied to the entropy images instead of original...
In this work, we study the visual quality of streaming video and propose a fusion-based video quality assessment (FVQA) index to predict its quality. In the first step, video sequences are grouped according to their content complexity to reduce content diversity within each group. Then, at the second step, several existing video quality assessment methods are fused to provide the final video quality...
Modern image quality assessment (IQA) indices, e.g. SSIM and FSIM, are proved to be effective for some image distortion types. However, they do not exploit the characteristics of the human visual system (HVS) explicitly. In this work, we investigate a method to incorporate the human visual saliency (VS) model in these full-reference indices, and call the resulting indices SSIMVS and FSIMVS, respectively...
In this work, we decompose an input video clip into multiple smaller intervals, measure the quality of each interval separately, and apply a fusion approach to integrating these scores into a final one. To give more details, an input video clip is first decomposed into smaller units along the temporal domain, called the temporal decomposition units (TDUs). Next, for each TDU that consists of a small...
The block-based multi-metric fusion (BMMF) is one of the state-of-the-art perceptual image quality assessment (IQA) schemes. With this scheme, image quality is analyzed in a block-by-block fashion according to the block content type (i.e. smooth, edge and texture blocks) and the distortion type. Then, a suitable IQA metric is adopted to evaluate the quality of each block. Various fusion strategies...
This paper presents a new methodology for objective visual quality assessment with multi-metric fusion (MMF). The current research is motivated by the observation that there is no single metric that gives the best performance scores in all situations. To achieve MMF, we adopt a regression approach. First, we collect a large number of image samples, each of which has a score labeled by human observers...
Digital watermark is an important technology for the image verification. Many authors researching on color image watermarking opine RGB color space in the spatial domain is not suitable for embedding marks. In this paper, we propose a digital color image watermarking method using Singular Value Decomposition (SVD). The whole process including embedding and extracting could be finished in RGB components...
Disparity estimation is crucial to multiview video coding (MVC), which has attracted much attention recently. In the MVC reference software, named JMVM, the global disparity vector (GDV) was estimated by frame matching on spatial neighbor views. In this paper, a scale invariant feature transform (SIFT) based disparity estimation method is proposed to estimate the GDV. The experimental results show...
This paper proposed a new objective video quality metric for multimedia videos based on a different perspective. We extended one existing image quality assessment metric to a video quality metric by considering temporal information and converted it into some compensation factor to correct the video quality score obtained in the spatial domain. After some experiments, we find out this proposed quality...
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