26 Result(s)
within
Computer Science
Computer Communication Networks
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Article
Predicting movie Box-office revenues by exploiting large-scale social media content
Predicting the box-office revenue of a movie before its theatrical release is an important but challenging problem that requires a high level of Artificial Intelligence. Nowadays, social media has shown its pr...
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Weighted motion averaging for the registration of multi-view range scans
Multi-view registration is a fundamental but challenging task in 3D reconstruction and robot vision. Although the original motion averaging algorithm has been introduced as an effective means to solve the mult...
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A near-end listening enhancement system by RNN-based noise cancellation and speech modification
When people listen to the phone in noisy environments, near-end listening enhancement (NELE) is a technology to enhance speech intelligibility against environmental noise. The complex environments in mobile co...
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Audio object coding based on optimal parameter frequency resolution
Object-based audio content is becoming the main form of audio content, because it is more interactive and flexible than traditional channel-based audio content. The Spatial Audio Object Coding (SAOC) method is...
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Multi-view point cloud registration with adaptive convergence threshold and its application in 3D model retrieval
Multi-view point cloud registration is a hot topic in the communities of artificial intelligence and multimedia technology. In this paper, we propose a novel framework to reconstruct 3D models with a multi-vie...
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A map** model of spectral tilt in normal-to-Lombard speech conversion for intelligibility enhancement
Environmental noise degrades the speech intelligibility when listening to the phone. Although the phone has a clean signal source, it is still difficult for the listener to get information. Intelligibility enh...
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Single Channel multi-speaker speech Separation based on quantized ratio mask and residual network
The recently-proposed deep clustering-based algorithms represent a fundamental advance towards the single-channel multi-speaker speech sep- aration problem. These methods use an ideal binary mask to construct ...
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Optimization of sound fields reproduction based Higher-Order Ambisonics (HOA) using the Generative Adversarial Network (GAN)
Sound field reproduction using Higher-order Ambisonics (HOA) has many studies in recent years. However, in the HOA, sound fields are reproduced with the least square solution of spherical harmonics (SH) coeffi...
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Open AccessSuffix-based double reader tag movement RFID anti-collision method
At present, some existing tag anti-collision algorithms are used mostly in scenarios of fixed number of tags and they perform poorly in tag moving scenarios. Therefore, this paper proposes a double reader tag ...
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Estimation of spherical harmonic coefficients in sound field recording using feed-forward neural networks
Sound field recording using spherical harmonics (SH) has been widely used. However, too many microphones are needed when recording sound fields over large areas, due to the capture of the higher order of spher...
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Audio object coding based on N-step residual compensating
Object-based audio techniques provide more flexibility and convenience for personalized rendering under various playback configurations. Many methods have been proposed to encode and transmit multiple audio ob...
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A dual-tamper-detection method for digital image authentication and content self-recovery
This paper proposes an approach to protect image content against malicious tampering based on watermarking technology. The watermark is composed of two kinds of check bits which are used for tampered region lo...
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FD-TR: feature detector based on scale invariant feature transform and bidirectional feature regionalization for digital image watermarking
In this paper we propose the FD-TR: Feature Detector Based on Scale Invariant Feature Transform and Bidirectional Feature Regionalization for digital image watermarking. The Scale Invariant Feature Transform m...
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Network structure optimization for social networks by minimizing the average path length
Network structure plays an important role in the natural and social sciences. Optimization of network structure in achieving specified goals has been a major research focus. In this paper, we focus on structur...
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Research on a collaboration model of green closed-loop supply chains towards intelligent manufacturing
A closed-loop supply chain (CLSC) is a complete supply chain cycle that closes the flow of logistics from procurement to sales to reduce pollution and optimize returns. In this paper, we aim to address the pro...
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RS-chain: a decentralized reputation-sharing framework for group-buying industry via hybrid blockchain
Group-buying is an intriguing e-commerce model that aims to recruit more participants to generate sufficient orders to establish a low-price foundation. It appears to be a good model for both sellers and buyer...
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Towards a multimodal human activity dataset for healthcare
Human activity recognition (HAR) based on wearable devices has become a hot topic due to the wide adoption of smartphones and smart bands. In this paper, we propose a new dataset, MMC-PCL-Activity, for wearabl...
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Effective low-light image enhancement with multiscale and context learning network
Convolutional Neural Network (CNN) has been widely used in low-light image enhancement task, and has achieved good enhancement results. However, the enhancement results not only are limited by the convolution ...
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Reversible multi-watermarking for color images with grayscale invariance
As a special way of hiding information, reversible data hiding is mostly used to embed data into digital multimedia. The original multimedia and embedded data can be restored from the watermarked one without a...
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Feature constraint reinforcement based age estimation
As one of the critical biological characteristics of human age, the face has been widely studied for age prediction, which has broad application prospects in the fields of commerce, security, entertainment, et...
