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Huanqiang Zeng
Researcher at Huaqiao University
Publications - 132
Citations - 1999
Huanqiang Zeng is an academic researcher from Huaqiao University. The author has contributed to research in topics: Computer science & Human visual system model. The author has an hindex of 19, co-authored 104 publications receiving 1263 citations. Previous affiliations of Huanqiang Zeng include University College of Engineering & The Chinese University of Hong Kong.
Papers
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Fast Mode Decision for H.264/AVC Based on Macroblock Motion Activity
TL;DR: A fast mode decision algorithm is proposed to speed up the encoding process by reducing the number of modes required to be checked in a hierarchical manner, and Experimental results have shown that the proposed MAMD algorithm reduces the computational complexity by 62.96%.
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ESIM: Edge Similarity for Screen Content Image Quality Assessment
TL;DR: The proposed edge similarity model is more consistent with the perception of the HVS on the evaluation of distorted SCIs than the multiple state-of-the-art IQA methods.
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Vehicle Re-Identification Using Quadruple Directional Deep Learning Features
TL;DR: Wang et al. as discussed by the authors proposed quadruple directional deep learning (QD-DLF) for improving vehicle re-identification performance, which is based on the same basic deep learning architecture that is a shortly and densely connected convolutional neural network.
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A Gabor Feature-Based Quality Assessment Model for the Screen Content Images
TL;DR: Experimental simulation results obtained from two large SCI databases have shown that the proposed GFM model yields a higher consistency with the human perception on the assessment of SCIs but also requires a lower computational complexity, compared with that of classical and state-of-the-art IQA models.
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Gradient Direction for Screen Content Image Quality Assessment
TL;DR: This letter first extracts the gradient direction based on the local information of the image gradient magnitude, which not only preserves gradient direction consistency in local regions, but also demonstrates sensitivities to the distortions introduced to the SCI.