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2015 IEEE International Conference on Consumer Electronics (ICCE)最新文献

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Human-Computer Interaction based on visual recognition using volumegrams of Local Binary Patterns 基于局部二值模式体积图视觉识别的人机交互
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066536
A. I. Maqueda, Carlos R. del-Blanco, F. Jaureguizar, N. García
A robust hand-gesture recognition system based on a novel descriptor called Volumetric Spatiogram of Local Binary Patterns is presented, which allows a more natural input interface for simulating a mouse. The recognition stage based on Support Vector Machines triggers different mouse functions depending on the recognized gesture.
提出了一种基于局部二元模式体积空间图描述符的鲁棒手势识别系统,该系统为模拟鼠标提供了更自然的输入界面。基于支持向量机的识别阶段根据识别的手势触发不同的鼠标功能。
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引用次数: 2
Compact 8K Super Hi-Vision recorder with removable memory 紧凑型8K超高清录像机,可移动存储器
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066571
T. Kajiyama, Kodai Kikuchi, E. Miyashita
We developed a new compact 8K Super Hi-Vision (SHV) recorder with a removable recording medium. We proposed a new recording method to improve the recorder's compressed image quality and confirmed its validity by simulation. Integrating the recorder with the method enables high quality recording of SHV at 60 fps.
我们开发了一种新的紧凑型8K超高清(SHV)录音机,带有可移动的记录介质。提出了一种新的记录方法,提高了记录器的压缩图像质量,并通过仿真验证了其有效性。将记录仪与该方法集成,可以以60 fps的速度录制高质量的SHV。
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引用次数: 2
Effective learning through meaning construction in digital role playing games 数字角色扮演游戏中意义建构的有效学习
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066566
K. Jantke, Tim Hume
Game-based learning (GBL) is promising, almost as promising as learning when sleeping. But why does it work? And how to implement it? For which purpose is it appropriate? And when is GBL doomed to fail? Serious games design is an art. How can game designers and developers utilize deep and well-established results of the humanities to make the design and implementation of digital games for learning a routine process? The understanding of digital role-playing based on theories of social psychology such as symbolic interactionism leads to the authors' original generic approach to game-based learning design. A serious game has already been designed, implemented, and evaluated for language learning that runs on conventional computers, as well as on varying mobile devices such as tablets. The stage is set for a series of similar role-playing games which allow for learning in largely varying domains.
基于游戏的学习(GBL)很有前途,几乎和睡觉时学习一样有前途。但它为什么会起作用呢?如何实施呢?它适合于什么目的?GBL什么时候注定要失败?严肃的游戏设计是一门艺术。游戏设计师和开发者如何利用人文学科的深入和完善的结果,使数字游戏的设计和执行成为一种常规过程?基于符号互动主义等社会心理学理论对数字角色扮演的理解,促使作者提出了基于游戏的学习设计的原始通用方法。我们已经设计、执行并评估了一款适用于传统电脑以及平板电脑等各种移动设备的语言学习游戏。这是一系列类似的角色扮演游戏的舞台,允许在很大程度上不同的领域学习。
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引用次数: 16
Video copy detection based on HEVC intra coding features 基于HEVC帧内编码特征的视频拷贝检测
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066340
Kai-Wen Liang, Yi-Ching Chen, Zong-Yi Chen, P. Chang
This work utilizes the coding information in HEVC for video copy detection. Both directional modes and residual coefficients of the I-frames are employed as the texture features for matching. These features are robust against different quantization parameters and different frame sizes. The accuracy is comparable with traditional pixel domain approaches.
本文利用HEVC中的编码信息进行视频拷贝检测。采用i帧的方向模式和残差系数作为纹理特征进行匹配。这些特征对不同的量化参数和不同的帧大小具有鲁棒性。该方法的精度与传统的像素域方法相当。
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引用次数: 1
Automatic exposure selection for High Dynamic Range photography 自动曝光选择高动态范围摄影
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066489
Reza Pourreza-Shahri, N. Kehtarnavaz
High Dynamic Range photography involves fusing bracket images taken at different exposure values in order to compensate for the low dynamic range of image sensors in digital and smartphone cameras. Bracket images normally consist of an image taken by the auto-exposure setting of a camera as well as two other images at ±n exposure values where n is manually specified or selected. This paper discusses a method to automatically and optimally select exposures by using pixel clustering and local entropy. The results obtained show that the developed automatic exposure selection method provides more scene details compared to the manual or fixed exposure selection.
高动态范围摄影包括融合在不同曝光值下拍摄的支架图像,以补偿数码相机和智能手机相机中图像传感器的低动态范围。括号图像通常包括一张由相机自动曝光设置拍摄的图像,以及另外两张在±n曝光值下拍摄的图像,其中n是手动指定或选择的。本文讨论了一种基于像素聚类和局部熵的自动优化曝光选择方法。结果表明,与手动或固定曝光选择相比,所开发的自动曝光选择方法提供了更多的场景细节。
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引用次数: 7
Automatic reflection removal using reflective layer image information 使用反射层图像信息自动反射去除
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066520
D. Prakash, Pramati Kalwad, V. Peddigari, P. Srinivasa
This paper tries to address the problem of removing unwanted reflection layer from the image mixtures. These reflections may occur due to semi-reflective glass mediums. This demands separating the input image into the reflecting layer and the subject layer, also known as, background layer which is the actual scene itself. But decomposing a single input image into these two layers is a massively ill-posed problem with infinite combinations of decomposition. This type of problem falls under the category of blind source separation. There are ample classical separation approaches available in the literature which either requires multiple images or works on a single image with user assistance. In this paper we propose a method for separating the two layers from a single input image without any user or human intervention using some prior information about the reflective layer.
本文试图解决从混合图像中去除不需要的反射层的问题。这些反射可能是由于半反射玻璃介质造成的。这要求将输入图像分为反射层和主题层,也称为背景层,即实际场景本身。但是,将单个输入图像分解为这两层是一个具有无限分解组合的大规模病态问题。这类问题属于盲源分离的范畴。文献中有大量的经典分离方法,这些方法要么需要多个图像,要么需要在用户帮助下对单个图像进行工作。在本文中,我们提出了一种方法,在没有任何用户或人为干预的情况下,使用一些关于反射层的先验信息,从单个输入图像中分离两层。
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引用次数: 3
Fast intra mode decision algorithm based on local binary patterns in High Efficiency Video Coding (HEVC) 高效视频编码(HEVC)中基于局部二值模式的快速模式内决策算法
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066409
Jong-Hyeok Lee, Kyung-Soon Jang, Byung-Gyu Kim, S. Jeong, J. Choi
A fast intra-mode decision algorithm for High Efficiency Video Coding Range Extension (HEVC RExt) is presented. In the HEVC RExt encoder, the encoding performance of intra-coding is better than the previous HEVC still image encoding standard. In order to use textural information of the most probable mode for intra-prediction, the probability distribution of local binary patterns is analyzed. An intra-mode decision method is proposed based on use of the local binary pattern in the texture of an encoded block. Experimental results achieved a 14.59%, on average, time-saving, and a 0.69% and a 0.19 dB loss for bit-rate and PSNR, respectively.
提出了一种高效视频编码范围扩展(HEVC ext)的模式内快速决策算法。在HEVC ext编码器中,内部编码的编码性能优于之前的HEVC静止图像编码标准。为了利用最可能模式的纹理信息进行内预测,分析了局部二值模式的概率分布。提出了一种基于编码块纹理中局部二值模式的模式内判定方法。实验结果表明,该方法平均节省了14.59%的时间,比特率和PSNR的损失分别为0.69%和0.19 dB。
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引用次数: 14
Secured radio communication based on fusion of cryptography algorithms 基于融合密码算法的安全无线电通信
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066457
Yoon Jib Kim, Ki-Uk Kyung
This paper describes a hybrid cryptographic model for secured telecommunication in marine environment. The experimental process consists of four parts. The first step provides a secure way of sharing a key between Vessel Traffic Service (VTS) and Automatic Identification System (AIS). The second step enables them to exchange messages with communication safety, modifying original text to cipher one or reversely. The third step guarantees data integrity, checking whether the messages have been altered by hackers or not. The last step performs frequently replacing the key value in which has been used. The result from the fusion of the cryptography was simulated on Very High Frequency (VHF) devices.
本文提出了一种用于海洋环境下安全通信的混合密码模型。实验过程包括四个部分。第一步提供了一种在船舶交通服务(VTS)和自动识别系统(AIS)之间共享密钥的安全方法。第二步使他们能够在通信安全的情况下交换消息,将原始文本修改为一个或相反的密码。第三步保证数据的完整性,检查信息是否被黑客修改过。最后一步执行频繁替换已使用的键值。在甚高频(VHF)设备上对密码融合的结果进行了仿真。
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引用次数: 2
A probabilistic-based CU size pre-determination method for parallel processing of HEVC encoders HEVC编码器并行处理中基于概率的CU尺寸预确定方法
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066432
Taeyoung Na, Sangkwon Na, K. Yoo
The advent of the state-of-the-art video coding standard, High Efficiency Video Coding (HEVC) is expected to bring great changes to relevant fields of broadcasting, storage and communications. HEVC achieves higher coding gains compared to its previous video coding standards in terms of rate-distortion (R-D) performance with various improved coding tools. This leads to heavy computational complexity and costs to HEVC encoders and these comes as strong restrictions specially to develop H/W types of encoders that are more preferred for real-time based applications and services. In particular, the quad-tree based coding unit (CU) structures with various sizes are known to contribute to achieving high coding gains of HEVC. However, RD cost calculation for mode decision with all CU sizes cannot normally be considered in the H/W HEVC encoders for real-time operation. To overcome this, a CU size pre-determination method based on a probabilistic decision model fit to implement H/W HEVC encoders is proposed in this paper. All available CU sizes are checked before inter prediction and unnecessary CU sizes are excluded from inter prediction according to the decision model. Then inter prediction with the reduced number of CU sizes can be performed in parallel with pipeline structures. The experimental results show that the proposed method effectively determines the necessary CU sizes with negligible coding loss of 1.57% for LD (Low-delay) coding structure and 1.08% for RA (Random access) coding structure, respectively in BD-BR.
高效视频编码(High Efficiency video coding, HEVC)标准的出现,将给广播、存储、通信等相关领域带来巨大的变化。HEVC通过各种改进的编码工具,在率失真(R-D)性能方面实现了比以前的视频编码标准更高的编码增益。这导致HEVC编码器的计算复杂性和成本很高,特别是开发H/W类型的编码器,这些编码器更适合基于实时的应用和服务。特别是,基于四叉树的不同大小的编码单元(CU)结构有助于实现HEVC的高编码增益。然而,在实时运行的H/W HEVC编码器中,通常不能考虑所有CU尺寸的模式决策的RD成本计算。为了解决这一问题,本文提出了一种基于概率决策模型拟合的CU尺寸预确定方法,用于实现H/W HEVC编码器。在进行相互预测之前检查所有可用的CU大小,并根据决策模型将不必要的CU大小排除在相互预测之外。然后,减少CU尺寸数量的相互预测可以与管道结构并行进行。实验结果表明,该方法可以有效地确定所需的CU大小,在BD-BR中,LD (Low-delay)编码结构和RA (Random access)编码结构的编码损失分别为1.57%和1.08%,可以忽略不计。
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引用次数: 0
Enhanced face recognition using Cross Local Radon Binary Patterns 使用跨局部氡二值模式增强人脸识别
Pub Date : 2015-03-26 DOI: 10.1109/ICCE.2015.7066492
S. Chalamala, Santosh Kumar Jami, B. Yegnanarayana
In this paper we introduce a novel face representation method called Cross Local Binary Patterns(XLBP) to improve the robustness of face recognition for partially occluded and non-uniformly illuminated face images. In our method we use Radon transform to capture the coarse level shape information and XLBP to capture the texture information. Individual histograms computed on each sub-block of the face image and are concatenated in spatial pyramid fashion to get the complete face descriptor. Distance measures based on Pyramid Matching Kernel(PMK) is used to match these face descriptors. Experiments on FERET and YaleB databases show the significance of this method.
为了提高部分遮挡和非均匀光照下人脸识别的鲁棒性,本文提出了一种新的人脸表示方法——交叉局部二值模式(Cross Local Binary Patterns, XLBP)。在我们的方法中,我们使用Radon变换捕获粗级形状信息,使用XLBP捕获纹理信息。在人脸图像的每个子块上计算单独的直方图,并以空间金字塔的方式连接以获得完整的人脸描述符。利用基于金字塔匹配核(PMK)的距离度量对这些人脸描述符进行匹配。在FERET和YaleB数据库上的实验表明了该方法的意义。
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引用次数: 5
期刊
2015 IEEE International Conference on Consumer Electronics (ICCE)
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