Search Results - "2014 IEEE International Conference on Multimedia and Expo (ICME)"

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  1. 1

    RiskWheel: Interactive visual analytics for surveillance event detection by Yu Cheng, Brown, L., Fan, Q., Feris, R., Pankanti, S., Tao Zhang

    “…Detecting human behaviors in vast amounts of video is a challenging task in a variety of real-world applications. Thus an interactive tool designed to support…”
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    Conference Proceeding
  2. 2

    EEG-based emotion classification using deep belief networks by Wei-Long Zheng, Jia-Yi Zhu, Yong Peng, Bao-Liang Lu

    “…In recent years, there are many great successes in using deep architectures for unsupervised feature learning from data, especially for images and speech. In…”
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    Conference Proceeding
  3. 3

    Continuous emotion detection using EEG signals and facial expressions by Soleymani, Mohammad, Asghari-Esfeden, Sadjad, Pantic, Maja, Yun Fu

    “…Emotions play an important role in how we select and consume multimedia. Recent advances on affect detection are focused on detecting emotions continuously. In…”
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    Conference Proceeding
  4. 4

    Psychological stress detection from cross-media microblog data using Deep Sparse Neural Network by Huijie Lin, Jia Jia, Quan Guo, Yuanyuan Xue, Jie Huang, Lianhong Cai, Ling Feng

    “…Long-term stress may lead to many severe physical and mental problems. Traditional psychological stress detection usually relies on the active individual…”
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    Conference Proceeding
  5. 5

    Single depth image super resolution and denoising via coupled dictionary learning with local constraints and shock filtering by Jun Xie, Cheng-Chuan Chou, Feris, Rogerio, Ming-Ting Sun

    “…Recently, consumer depth cameras have gained significant popularity due to their affordable cost. However, the limited resolution and quality of the depth map…”
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    Conference Proceeding
  6. 6

    Quality prediction of asymmetrically distorted stereoscopic images from single views by Jiheng Wang, Kai Zeng, Zhou Wang

    “…Objective quality assessment of distorted stereoscopic images is a challenging problem. Existing studies suggest that simply averaging the quality of the left-…”
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    Conference Proceeding
  7. 7

    Motion blur kernel estimation via salient edges and low rank prior by Jinshan Pan, Risheng Liu, Zhixun Su, Guili Liu

    “…Blind image deblurring, i.e., estimating a blur kernel from a single input blurred image is a severely ill-posed problem. In this paper, we show how to…”
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    Conference Proceeding
  8. 8

    Efficient coding unit size selection based on texture analysis for HEVC intra prediction by Mallikarachchi, Thanuja, Fernando, Anil, Arachchi, Hemantha Kodikara

    “…Determining the best partitioning structure for a given Coding Tree Unit (CTU) is one of the most time consuming operations within the HEVC encoder. The brute…”
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    Conference Proceeding
  9. 9

    L2,0 constrained sparse dictionary selection for video summarization by Shaohui Mei, Genliang Guan, Zhiyong Wang, Mingyi He, Xian-Sheng Hua, Feng, David Dagan

    “…The ever increasing volume of video content has created profound challenges for developing efficient video summarization (VS) techniques to access the data…”
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  10. 10

    Community based effective social video contents placement in cloud centric CDN network by Han Hu, Yonggang Wen, Tat-Seng Chua, Zhi Wang, Jian Huang, Wenwu Zhu, Di Wu

    “…The increasing popularity of online social networks (OSNs) has been transforming the dissemination pattern of social video contents. Considering the unique…”
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    Conference Proceeding
  11. 11

    An expressive deep model for human action parsing from a single image by Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin

    “…This paper aims at one newly raising task in vision and multimedia research: recognizing human actions from still images. Its main challenges lie in the large…”
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    Conference Proceeding
  12. 12

    Scene text recognition in multiple frames based on text tracking by Xuejian Rong, Chucai Yi, Xiaodong Yang, Yingli Tian

    “…Text signage as visual indicators in natural scene plays an important role in navigation and notification in our daily life. Most previous methods of scene…”
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    Conference Proceeding
  13. 13

    Kernel-based supervised hashing for cross-view similarity search by Jile Zhou, Guiguang Ding, Yuchen Guo, Qiang Liu, XinPeng Dong

    “…Spectral-based hashing (SpH) is the most used method for cross-view hash function learning (CVHFL). However, the following three problems are shared by many…”
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    Conference Proceeding
  14. 14

    Emotion recognition from users' EEG signals with the help of stimulus VIDEOS by Yachen Zhu, Shangfei Wang, Qiang Ji

    “…In this paper, we propose a novel approach to recognize users' emotions from electroencephalogram (EEG) signals by using stimulus videos as privileged…”
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    Conference Proceeding
  15. 15

    Co-saliency detection based on region-level fusion and pixel-level refinement by Lina Li, Zhi Liu, Wenbin Zou, Xiang Zhang, Le Meur, Olivier

    “…This paper addresses the problem of co-saliency detection, which aims to identify the common salient objects in a set of images and is important for many…”
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    Conference Proceeding
  16. 16

    Anaba: An obscure sightseeing spots discovering system by Chenyi Zhuang, Qiang Ma, Xuefeng Liang, Yoshikawa, Masatoshi

    “…Discovering and recommending points of interest (POI) are drawing more attention to meet the increasing demand from personalized tours. Unlike conventional…”
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    Conference Proceeding
  17. 17

    Surf feature extraction in encrypted domain by Yu Bai, Li Zhuo, Bo Cheng, Yuan Fan Peng

    “…Signal processing in the encrypted domain has become a hot research topic, which enable signal processing tasks in a secure and privacy-preserving manner…”
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    Conference Proceeding
  18. 18

    OBSIR: Object-based stereo image retrieval by Xiangyang Xu, Wenjing Geng, Ran Ju, Yang Yang, Tongwei Ren, Gangshan Wu

    “…Recent years, the stereo image has become an emerging media in the field of 3D technology, which leads to an urgent demand of stereo image retrieval. In this…”
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  19. 19

    Towards time-varying music auto-tagging based on CAL500 expansion by Shuo-Yang Wang, Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang

    “…Music auto-tagging refers to automatically assigning semantic labels (tags) such as genre, mood and instrument to music so as to facilitate text-based music…”
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  20. 20

    Learning quality-aware filters for no-reference image quality assessment by Zhongyi Gu, Lin Zhang, Xiaoxu Liu, Hongyu Li, Jianwei Lu

    “…With the rapid development of the usage of digital imaging and communication technologies, there appears to be a great demand for fast and practical approaches…”
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    Conference Proceeding