Proceedings of the 19th ACM international conference on Multimedia最新文献_第8页

Scenic photo quality assessment with bag of aesthetics-preserving features 景观照片质量评估，具有美学保护功能

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2071977

Hsiao-Hang Su, Tse-Wei Chen, Chieh-Chi Kao, Winston H. Hsu, Shao-Yi Chien

引用次数: 78

Bilinear deep learning for image classification 用于图像分类的双线性深度学习

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2072505

S. Zhong, Y. Liu, Yang Liu

引用次数: 6

Automatic concept-to-query mapping for web-based concept detector training 用于基于web的概念检测器训练的自动概念到查询映射

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2072038

Damian Borth, A. Ulges, T. Breuel

引用次数: 7

Unsupervised fast anomaly detection in crowds 人群中无监督快速异常检测

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2072042

Xiaoshuai Sun, H. Yao, R. Ji, Xianming Liu, Pengfei Xu

引用次数: 20

3D object retrieval with semantic attributes 基于语义属性的三维对象检索

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2072442

Boqing Gong, Jianzhuang Liu, Xiaogang Wang, Xiaoou Tang

引用次数: 5

Snap & play: auto-generate personalized find-the-difference mobile game Snap & play:自动生成个性化的finthe -difference手机游戏

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2071921

Si Liu, Qiang Chen, Jian Dong, Shuicheng Yan, Changsheng Xu, Hanqing Lu

{"title":"Snap & play: auto-generate personalized find-the-difference mobile game","authors":"Si Liu, Qiang Chen, Jian Dong, Shuicheng Yan, Changsheng Xu, Hanqing Lu","doi":"10.1145/2072298.2071921","DOIUrl":"https://doi.org/10.1145/2072298.2071921","url":null,"abstract":"According to the year 2010 report of the Entertainment Software Association [5], 42% of USA heads of households reported playing games on mobile devices, rising quickly from the 20% in 2002 and bringing huge market for mobile games. In this paper, by taking the popular game, Find-the-Difference (FiDi), as a concrete example, we explore new mobile game design principles and techniques for enhancing player's gaming experience in personalized, automatic, and dynamic aspects. Unlike traditional FiDi game, where image pairs (source image vs. target image) with M different patches are manually produced by game developer and players may feel boring or cheat after practicing all image pairs, our proposed Personalized FiDi (P-FiDi) mobile game may be played under a new Snap & Play mode. The player may first take photos with one s mobile device (or select from one's own albums). Then, these photos serve as source images, and the P-FiDi system automatically generates the counterpart target images by sequential operations of aesthetic image quality enhancement, image patch and differentiating style joint selection, music adaptation, dynamic difficulty level determination, and ultimate automatic image editing with a rich set of popular differentiating styles used in traditional FiDi game. Finally, the player enjoys the unique gaming with one's own (instant) photos and music, and the freedom to have new gaming image pairs any time. The user studies show that the P-FiDi mobile game is satisfying in terms of player experience.","PeriodicalId":318758,"journal":{"name":"Proceedings of the 19th ACM international conference on Multimedia","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116696695","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: 3

A home-based adaptive mixed reality rehabilitation system 基于家庭的自适应混合现实康复系统

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2072456

Diana Siwiak, N. Lehrer, Michael Baran, Yinpeng Chen, Margaret Duff, T. Ingalls, T. Rikakis

引用次数: 7

Optimal batch selection for active learning in multi-label classification 多标签分类中主动学习的最优批选择

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2072028

Shayok Chakraborty, V. Balasubramanian, S. Panchanathan

{"title":"Optimal batch selection for active learning in multi-label classification","authors":"Shayok Chakraborty, V. Balasubramanian, S. Panchanathan","doi":"10.1145/2072298.2072028","DOIUrl":"https://doi.org/10.1145/2072298.2072028","url":null,"abstract":"Multi-label classification is a generalization of conventional classification, where it is possible for a single data point to have multiple labels. Manual annotation of a multi-label data point requires a human oracle to consider the presence/absence of every possible class separately, which involves significant labor. Active learning techniques are effective in reducing human labeling effort to induce a classification model. When exposed to large quantities of unlabeled data, such algorithms automatically select the salient and representative instances for manual annotation. Further, to address the high redundancy in data such as image or video sequences as well as the availability of multiple labeling agents, there have been recent attempts towards a batch mode form of active learning, where a batch of data points is selected simultaneously from an unlabeled set. In this work, we propose a novel optimization based batch mode active learning strategy to minimize human labeling effort in multi-label classification problems. To the best of our knowledge, this is the first attempt to develop such a scheme primarily intended for the multi-label context. The proposed framework is computationally simple, easy to implement and can be suitably modified to perform batch mode active learning in other formulations, such as single-label classification or problems involving hierarchical label spaces. Our results corroborate the efficacy of the proposed algorithm and certify the potential of the framework in being used for real world applications.","PeriodicalId":318758,"journal":{"name":"Proceedings of the 19th ACM international conference on Multimedia","volume":"67 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116558646","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: 22

Nonparametric bottom-up saliency detection using hypercomplex spectral contrast 使用超复光谱对比的非参数自下而上显著性检测

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2071963

Ce Li, Jianru Xue, Nanning Zheng, Zhiqiang Tian

引用次数: 4

Resource allocation for cloud-based free viewpoint video rendering for mobile phones 基于云的手机免费视点视频渲染的资源分配

Proceedings of the 19th ACM international conference on Multimedia Pub Date : 2011-11-28 DOI: 10.1145/2072298.2071983

Dan Miao, Wenwu Zhu, Chong Luo, Chang Wen Chen

引用次数: 43