2015 IEEE International Conference on Multimedia and Expo (ICME)最新文献

Multi-modal learning for gesture recognition 手势识别的多模态学习

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177460

Congqi Cao, Yifan Zhang, Hanqing Lu

引用次数: 10

VTouch: Vision-enhanced interaction for large touch displays VTouch:用于大型触摸显示器的视觉增强交互

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177390

Yinpeng Chen, Zicheng Liu, P. Chou, Zhengyou Zhang

引用次数: 2

Distributed cooperative video coding for wireless video broadcast system 面向无线视频广播系统的分布式协同视频编码

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177521

Mengyao Sun, Yumei Wang, Hao Yu, Yu Liu

引用次数: 7

Flickr circles: Mining socially-aware aesthetic tendency Flickr圈子:挖掘具有社会意识的审美倾向

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177384

Luming Zhang, Roger Zimmermann

引用次数: 7

Structure-preserving Image Quality Assessment 保持结构的图像质量评估

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177436

Yilin Wang, Qiang Zhang, Baoxin Li

{"title":"Structure-preserving Image Quality Assessment","authors":"Yilin Wang, Qiang Zhang, Baoxin Li","doi":"10.1109/ICME.2015.7177436","DOIUrl":"https://doi.org/10.1109/ICME.2015.7177436","url":null,"abstract":"Perceptual Image Quality Assessment (IQA) has many applications. Existing IQA approaches typically work only for one of three scenarios: full-reference, non-reference, or reduced-reference. Techniques that attempt to incorporate image structure information often rely on hand-crafted features, making them difficult to be extended to handle different scenarios. On the other hand, objective metrics like Mean Square Error (MSE), while being easy to compute, are often deemed ineffective for measuring perceptual quality. This paper presents a novel approach to perceptual quality assessment by developing an MSE-like metric, which enjoys the benefit of MSE in terms of inexpensive computation and universal applicability while allowing structural information of an image being taken into consideration. The latter was achieved through introducing structure-preserving kernelization into a MSE-like formulation. We show that the method can lead to competitive FR-IQA results. Further, by developing a feature coding scheme based on this formulation, we extend the model to improve the performance of NR-IQA methods. We report extensive experiments illustrating the results from both our FR-IQA and NR-IQA algorithms with comparison to existing state-of-the-art methods.","PeriodicalId":146271,"journal":{"name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134368859","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 framework of extracting multi-scale features using multiple convolutional neural networks 基于多卷积神经网络的多尺度特征提取框架

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177449

Kuan-Chuan Peng, Tsuhan Chen

引用次数: 31

Exploring feature space with semantic attributes 用语义属性探索特征空间

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177441

Junjie Cai, Richang Hong, Meng Wang, Q. Tian

{"title":"Exploring feature space with semantic attributes","authors":"Junjie Cai, Richang Hong, Meng Wang, Q. Tian","doi":"10.1109/ICME.2015.7177441","DOIUrl":"https://doi.org/10.1109/ICME.2015.7177441","url":null,"abstract":"Indexing is a critical step for searching digital images in a large database. To date, how to design discriminative and compact indexing strategy still remains a challenging issue, partly due to the well-known semantic gap between user queries and rich semantics in the large scale dataset. In this paper, we propose to construct a novel joint semantic-visual space by leveraging visual descriptors and semantic attributes, which aims to narrow down the semantic gap by taking both attribute and indexing into one framework. Such a joint space embraces the flexibility of conducting Coherent Semantic-visual Indexing, which employs binary codes to boost the retrieval speed with satisfying accuracy. To solve the proposed model effectively, three contributions are made in this submission. First, we propose an interactive optimization method to find the joint space of semantic and visual descriptors. Second, we prove the convergence property of our optimization algorithm, which guarantees our system will find a good solution in certain rounds. At last, we integrate the semantic-visual joint space system with spectral hashing, which can find an efficient solution to search up to million scale datasets. Experiments on two standard retrieval datasets i.e., Holidays1M and Oxford5K, show that the proposed method presents promising performance compared with the state-of-the-arts.","PeriodicalId":146271,"journal":{"name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130793893","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: 5

Single image super-resolution via 2D sparse representation 基于二维稀疏表示的单幅图像超分辨率

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177485

Na Qi, Yunhui Shi, Xiaoyan Sun, Wenpeng Ding, Baocai Yin

引用次数: 12

Optimization of the number of rays in interpolation for light field based free viewpoint systems 基于光场的自由视点系统插值中光线数的优化

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177463

H. Shidanshidi, F. Safaei, W. Li

引用次数: 1

A probabilistic model for food image recognition in restaurants 饭店食物图像识别的概率模型

2015 IEEE International Conference on Multimedia and Expo (ICME) Pub Date : 2015-08-06 DOI: 10.1109/ICME.2015.7177464

Luis Herranz, Ruihan Xu, Shuqiang Jiang

引用次数: 21