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A new source-side de-interlacing method for high quality video content 13th

A new source-side de-interlacing method for high quality vid...

引用

13th International Forum of Digital TV and Wireless Multimedia communication, IFTC 2016

作者： Bi, Yulai Zhang, Xiaoyun Gao, Zhiyong Institue of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789811042102

Traditionally, de-interlacing is implemented at the terminalside as a post processing step, however this paper proposes a novel and advanced source-side de-interlacing method for high quality video content. It is an adaptive integration of texture-based intra-interpolation and inter-field motion compensation. Firsty, intra-interpolation based on texture similarity is proposed for wider search scope and better reconstruction performance. Motion compensation is strictly limited by vertical motion conditions and uniform motion check. Then, adaptive intra or inter mode decision is presented to further remove the compensated artifacts. Experiments show that the proposed technique can produce more convincing de-interlaced videos with less artifacts on both subjective and objective evaluation in comparison with other methods, including the leading multimedia tool ffmpeg. The parallelism nature of the proposed technique also makes it suitable for acceleration implementation on GPUs and thus is applicable for real time systems. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Motion compensation

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Fountain Code based Hop-by-Hop Reliable Data Transmission Scheme in Multi-Hop MANETs 22

Fountain Code based Hop-by-Hop Reliable Data Transmission Sc...

引用

22nd IEEE International Conference on communication Technology, ICCT 2022

作者： Li, Changdong Ding, Lianghui Li, Jingan Yang, Feng Qian, Liang Institue of Image Communication and Network Engineering Shanghai Jiaotong University Shanghai China Hebei China Institute of Wireless Communication Technology Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781665470674

The characteristics of communication in mobile ad hoc networks (MANETs) such as channel fading, limited bandwidth, and interference, bring challenges to reliable data transmission. In this paper, we propose a reliable transmission scheme for multi-hop MANETs, called Fountain code-based Hop-by-Hop Reliable Data Transfer (FHRDT). FHRDT is a hybrid transmission scheme in which the end-to-end transmission mechanism is used for reliability and the hop-by-by mechanism for enhanced efficiency. In addition, the intermediate nodes generate recoded packets without complete decoding of the block which further increases throughput. The simulation results demonstrate that FHRDT performs better than the existing schemes in terms of both end-to-end delay and throughput. © 2022 IEEE.

关键词： Mobile ad hoc networks

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An adaptive multi-scale tracking method based on Kernelized Correlation Filter 14th

An adaptive multi-scale tracking method based on Kernelized ...

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14th International Forum of Digital TV and Wireless Multimedia communication, IFTC 2017

作者： Xu, Qiling Yang, Hua Institue of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai China

ISBN: (纸本)9789811081071

Visual tracking is a fundamental computer vision task with a wide range of applications. Kernelized Correlation Filter (KCF) is an excellent algorithm with high tracking speed. However, the target tracking scale in the KCF algorithm is a fixed value which might cause tracking failure or target drifting problem when the target scale changes significantly. In this paper, we present an adaptive multi-scale tracking algorithm based on the KCF algorithm by estimating the scale of the target. Our method builds upon the correlation filter with a Gaussian kernel and reasonable prediction of the target size. In order to verify the effectiveness of the proposed algorithm, 9 sets of complex video sequences of a commonly used tracking benchmark were selected and the results were compared with other tracking methods (KCF, CSK, CT, TLD, Struck, CNN-SVM and MDNet). The results show that the proposed method has high accuracy. The method in this paper has strong robustness in the complex scenes with challenges of scale variation, illumination variation, occlusion, in-plane rotation, out-of plane rotation and deformation. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Target tracking

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Crowd semantic segmentation based on spatial-temporal dynamics

Crowd semantic segmentation based on spatial-temporal dynami...

引用

IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Jijia Li Hua Yang Shuang Wu Institue of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781509038121

Crowd semantic segmentation is supposed to not only accurately segment the crowd into groups but also describe them by semantic properties. We define a group as a set of members sharing common spatial-temporal dynamics, i.e., motion consistency and distribution homogeneity. This paper proposes a novel crowd semantic segmentation method, termed as joint spatial-temporal semantic segmentation, which leverages the temporal motion characteristics and spatial distribution information of crowd. We first conduct temporal motion grouping and spatial distribution grouping according to motion consistency and distribution homogeneity respectively. Then, a a joint semantic segmentation algorithm is employed to combine the motion and distribution groups into semantic groups. States of these groups are described in terms of motion pattern and density level. Experiments show that our proposed method is effective to obtain favorable segmentation with semantic descriptions.

关键词： Motion segmentation Trajectory Semantics Graphical models Distribution functions Coherence Heuristic algorithms

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LEARNING DISCRIMINATIVE AND SHAREABLE PATCHES FOR SCENE CLASSIFICATION

LEARNING DISCRIMINATIVE AND SHAREABLE PATCHES FOR SCENE CLAS...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Shoucheng Ni Qieshi Zhang Sei-ichiro Kamata Chongyang Zhang Institue of Image Communication and Network Engineering Shanghai Jiao Tong University Graduate School of Information Production and Systems Waseda University

ISBN: (纸本)9781479999897

This paper addresses the problem of scene classification and proposes learning discriminative and shareable patches (LDSP) method. The main idea of learning discriminative and shareable patches is to discover patches that exhibit both large between-class dissimilarity (discriminative) and large within-class similarity (shareable). A novel and efficient re-clustering, based on co-occurrence relationship of first-step clustering, is proposed and conducted to further enhance the visual similarity of patches within each cluster. In order to establish appropriate criteria for selecting desired patches, a condensed representation of image features called feature epitome is introduced. In the classification, a patch feature involving pre-trained convolutional neural network model is investigated. The experimental result outperforms existing single-feature methods on MIT 67 scene benchmark in term of mean Accuracy Precision.

关键词： Learning discriminative and shareable patches scene classification deep-learned patch feature Patches Learning

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IPAD: Intensity potential for adaptive de-quantization

IPAD: Intensity potential for adaptive de-quantization

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Jing Liu Guangtao Zhai Xiaokang Yang Menghan Hu Chang Wen Chen School of Electrical and Information Engineering Tianjin University China Institue of Image Communication and Network Engineering Shanghai Jiao Tong University China Department of Computer Science and Engineering State University of New York at Buffalo U.S.

ISBN: (纸本)9781509060689

Display devices at bit-depth of 10 or higher have been mature but the mainstream media source is still at bit-depth as low as 8. To accommodate the gap, the most economic solution is to render source at low bit-depth for high bit-depth display, which is essentially the procedure of de-quantization. Traditional methods, like zero-padding or bit replication, introduce annoying false contour artifacts. To better estimate the least-significant bits, later works use filtering or interpolation approaches, which exploit only limited neighbor information, can not thoroughly remove the false contours. In this paper, we propose a novel intensity potential field to model the complicated relationships among pixels. Then, an adaptive de-quantization algorithm is proposed to convert low bit-depth images to high bit-depth ones. To the best of our knowledge, this is the first attempt to apply potential field for natural images. The proposed potential field preserves local consistency and models the complicated contexts very well. Extensive experiments on natural image datasets validate the efficiency of the proposed intensity potential field. Significant improvements have been achieved over the state-of-the-art methods on both PSNR and SSIM.

关键词： Electric potential Quantization (signal) Adaptation models image color analysis Tablet computers Interpolation Context modeling

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Fountain Code based Hop-by-Hop Reliable Data Transmission Scheme in Multi-Hop MANETs

Fountain Code based Hop-by-Hop Reliable Data Transmission Sc...

引用

International Conference on communication Technology (ICCT)

作者： Changdong Li Lianghui Ding Jingan Li Feng Yang Liang Qian Institue of Image Communication and Network Engineering Shanghai Jiaotong University Shanghai China The 54th Reasearch Institute of China Electronic Company Technology (CECT) Hebei China Institute of Wireless Communication Technology Shanghai Jiaotong University Shanghai China

关键词： Wireless communication Codes Simulation Spread spectrum communication Throughput Data transfer Delays

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Dynamic backlight scaling considering ambient luminance for mobile energy saving

Dynamic backlight scaling considering ambient luminance for ...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Wei Sun Guangtao Zhai Xiongkuo Min Yutao Liu Siwei Ma Jing Liu Jiantao Zhou Xianming Liu Institue of Image Communication and Network Engineering Shanghai Jiao Tong University China School of Computer Science and Technology Harbin Insitute of Technology China School of Electronic Engineering and Computer Science Peking University China School of Electrical and Information Engineering Tianjin University China Department of Computer and Information Science University of Macau China

ISBN: (纸本)9781509060689

The mobile video playback involves many subsystems of the devices such as computing, rendering and displaying subsystems. Among all subsystems, the displaying subsystem accounts for at least 38% of all consumed power, and it can be up to 68% with the maximum backlight brightness. What is more, lots of people watch videos via mobile devices in various situations, where the ambient luminance condition is different. Therefore, how to save mobile energy and improve the Quality of Experience (QoE) in different situations become significant problems. In this paper, we try to maximally enhance the battery power performance under various ambient luminance conditions through backlight magnitude adjusting, while without negatively impacting users' QoE. In particular, we conduct a series of subject quality assessment experiments to uncover the quantitative relationship among QoE, ambient luminance, video content luminance and backlight level. We first study whether the continuous playback of backlight-scaled shots using the proposed scaling magnitude would cause flicker effect or not. Then motivated by the findings of these subject studies, we implement a Dynamic Backlight Scaling (DBS) strategy. The experiment results demonstrate that the DBS strategy can save more than 40% power at most and can also save 10% power even at a very high ambient luminance.

关键词： Mobile communication Mobile handsets Histograms Satellite broadcasting Brightness Measurement

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