2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)最新文献_第2页

[Title page i] [标题页i]

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/sibgrapi.2018.00001

引用次数: 0

Deep Face Recognition: A Survey 深度人脸识别:一项研究

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/SIBGRAPI.2018.00067

I. Masi, Yuehua Wu, Tal Hassner, P. Natarajan

{"title":"Deep Face Recognition: A Survey","authors":"I. Masi, Yuehua Wu, Tal Hassner, P. Natarajan","doi":"10.1109/SIBGRAPI.2018.00067","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2018.00067","url":null,"abstract":"Face recognition made tremendous leaps in the last five years with a myriad of systems proposing novel techniques substantially backed by deep convolutional neural networks (DCNN). Although face recognition performance sky-rocketed using deep-learning in classic datasets like LFW, leading to the belief that this technique reached human performance, it still remains an open problem in unconstrained environments as demonstrated by the newly released IJB datasets. This survey aims to summarize the main advances in deep face recognition and, more in general, in learning face representations for verification and identification. The survey provides a clear, structured presentation of the principal, state-of-the-art (SOTA) face recognition techniques appearing within the past five years in top computer vision venues. The survey is broken down into multiple parts that follow a standard face recognition pipeline: (a) how SOTA systems are trained and which public data sets have they used; (b) face preprocessing part (detection, alignment, etc.); (c) architecture and loss functions used for transfer learning (d) face recognition for verification and identification. The survey concludes with an overview of the SOTA results at a glance along with some open issues currently overlooked by the community.","PeriodicalId":208985,"journal":{"name":"2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129247177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 58

Example-Based Skin Wrinkle Displacement Maps 基于示例的皮肤皱纹位移贴图

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/SIBGRAPI.2018.00034

Ron Vanderfeesten, J. Bikker

引用次数: 2

The Shape of the Game 游戏的形状

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/SIBGRAPI.2018.00024

D. Coimbra, T. T. A. T. Neves, A. Telea, F. Paulovich

{"title":"The Shape of the Game","authors":"D. Coimbra, T. T. A. T. Neves, A. Telea, F. Paulovich","doi":"10.1109/SIBGRAPI.2018.00024","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2018.00024","url":null,"abstract":"The development of multimedia and network technologies strongly increase the interest on Internet broadcasting or streaming services, especially for soccer games. An example is the 2014 World Cup soccer tournament that registered record-breaking audiences worldwide, providing attractive alternatives to traditional TV viewing. The confluence of video streaming and computational resources opens up many possibilities for applications such as the online detection of interesting events, strategy analysis, or statistics comparisons. While much research targets algorithms to detect match statistics, strategy, retrieval, and indexing, the problem of presenting such information to users is much less studied. This paper proposes a simple but effective visual metaphor to help users browse and get insight into sports matches, with a focus on soccer games. We extract video segments, based on audio and metadata, identifying the main events of a game. Next, we use such events to define a visual representation that preserves the time-order of the video sequence, highlighting the most important events. Our visual representation enables the quick finding of the main events, allowing users to improve navigation when exploring a match, and also provides a way to evaluate the quality of a game or entire tournaments. We demonstrate our approach by applying it to several matches of 2014 World Cup, analyzing its knockout stage and comparing the final match in six different languages.","PeriodicalId":208985,"journal":{"name":"2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128929255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Benchmark Methodology for Child Pornography Detection 儿童色情物品检测的基准方法

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/SIBGRAPI.2018.00065

João Macedo, F. Costa, J. A. D. Santos

{"title":"A Benchmark Methodology for Child Pornography Detection","authors":"João Macedo, F. Costa, J. A. D. Santos","doi":"10.1109/SIBGRAPI.2018.00065","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2018.00065","url":null,"abstract":"The acquisition and distribution of child sexual content are some of the most important concerns for legislative systems and law enforcement agencies around the world. There is a great demand for automatic detection of child pornography, mainly due to the large amount of existent data and the facility someone can share this content over the internet. Although there are some proposed methods to automatically detect child pornography content in the literature, there is no available dataset to assess and compare the performance of these methods due to legal restrictions, considering that in many countries the distribution or possession of this material is a crime by Law. To mitigate this problem, we work with the Brazilian Federal Police to structure and organize a benchmark methodology for child pornography to make it possible the comparison of distinct categories of child pornography detectors. Therefore, we present in this paper the used methodology for the creation of a new annotated dataset of images of child pornography. We also propose a child pornography detection step-wise methodology based on automatic age estimation combined with a pornography detector, which is evaluated using the described benchmark dataset. The proposed approach achieved results (79.84% accuracy) that overcome two tools currently used by the Brazilian Federal Police.","PeriodicalId":208985,"journal":{"name":"2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121860982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Unsupervised Dialogue Act Classification with Optimum-Path Forest 最优路径森林的无监督对话行为分类

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/SIBGRAPI.2018.00010

L. C. Ribeiro, J. Papa

引用次数: 2

Scene Conversion for Physically-Based Renderers 基于物理渲染器的场景转换

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/SIBGRAPI.2018.00036

Luiza A. Hagemann, M. M. O. Neto

引用次数: 0

Adaptive Patches for Mesh Denoising 网格去噪的自适应补丁

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/SIBGRAPI.2018.00007

Jan Hurtado, M. Gattass, A. Raposo, Jéferson Coêlho

引用次数: 5

GuidedNet: Single Image Dehazing Using an End-to-End Convolutional Neural Network guidenet:使用端到端卷积神经网络的单幅图像去雾

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/SIBGRAPI.2018.00017

L. T. Goncalves, J. O. Gaya, Paulo Jorge Lilles Drews Junior, S. Botelho

引用次数: 7

[Publisher's information] (发布者的信息)

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) Pub Date : 2018-10-01 DOI: 10.1109/sibgrapi.2018.00070

引用次数: 0