A Neural Scheme for Robust Detection of Transparent Logos in TV Programs

机译：鲁棒检测电视节目中透明徽标的神经机制

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In this paper, we present a connectionist approach for detecting and precisely localizing transparent logos in TV programs. Our system automatically synthesizes simple problem-specific feature extractors from a training set of logo images, without making any assumptions or using any hand-made design concerning the features to extract or the areas of the logo pattern to analyze. We present in detail the design of our architecture, our learning strategy and the resulting process of logo detection. We also provide experimental results to illustrate the robustness of our approach, that does not require any local preprocessing and leads to a straightforward real time implementation.

机译：在本文中，我们提出了一种用于检测和精确定位电视节目中透明徽标的连接方法。我们的系统从一组经过训练的徽标图像中自动合成简单的针对特定问题的特征提取器，而无需进行任何假设或使用任何与要提取的特征或徽标图案区域无关的手工设计。我们详细介绍了体系结构的设计，我们的学习策略以及徽标检测的结果过程。我们还提供实验结果来说明我们的方法的鲁棒性，不需要任何本地预处理，并且可以直接实现实时实施。

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《International Conference on Artificial Neural Networks(ICANN 2006) pt.2; 20060910-14; Athens(GR)》|2006年|14-23|共10页
会议地点 Athens(GR)
作者
Stefan Duffner; Christophe Garcia;
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France Telecom Division Research Development, 4, rue du Clos Courtel, 35512 Cesson-Sevigne, France;

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原文格式 PDF
正文语种 eng
中图分类人工智能理论;
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1. A method for robust TV logo detection① [J] . Pan Da, Shi Ping, Ying Zefeng, 高技术通讯（英文版） . 2019,第002期

机译：一种可靠的电视徽标检测方法①
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4. A Neural Scheme for Robust Detection of Transparent Logos in TV Programs [C] . Stefan Duffner, Christophe Garcia International Conference on Artificial Neural Networks(ICANN 2006) pt.2; 20060910-14; Athens(GR) . 2006

机译：鲁棒检测电视节目中透明徽标的神经机制
5. Content analysis: extreme reality television programming versus contest based television programming. [D] . Serva, Dominic. 2014

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6. Exercise portrayal in children’s television programs: analysis of the UK and Irish programming [O] . Paul Scully, Orlaith Reid, Alan P Macken, 2016

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7. How to achieve sub-cellular-level spatial resolution and sub-spike-level temporal resolution at same time is still a technical challenge in neural mapping while both information are critically important to advance neural science. Here, we present penetrating arrays consisted of single-neuron level transparent microelectrodes with low impedance coating which could realize the high spatial and temporal resolution at the same time. These 32-channel transparent penetrating electrodes with record-small site area, 225 µm², have a low impedance of ~ 149 kΩ at 1 kHz, an adequate charge injection limit of ± 0.76 mC/cm2, and up to 100 yield. Mechanical bending test result show robust mechanism up to 1000 bending cycles. After a temporary stiffen with polyethylene glycol, this electrode achieved great insertion result without any buckling or deformation. Together these results establish a novel neurotechnology - penetrating arrays of transparent, flexible bilayernanomeshMicroelectrodes which possess great potential for brain research [O] . Zhan Shi -1

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8. Nonlinear Signal Processing Schemes for Robust Target Detection in Radar. [R] . Bilgutay, N. M., Saniie, J. 1994

机译：雷达系统鲁棒目标检测的非线性信号处理方案。

A Neural Scheme for Robust Detection of Transparent Logos in TV Programs

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