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ORCID3rd BigMM 2017: Laguna Hills, CA, USA
- Third IEEE International Conference on Multimedia Big Data, BigMM 2017, Laguna Hills, CA, USA, April 19-21, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-6549-3
Parallel Session 1 - BigMM (1): Content Analysis and Data Mining I
- Dianxiang Xu, Omar el Ariss, Yunkai Liu, Abdulrahman Alatawi:
Statistical Unigram Analysis for Source Code Repository. 1-8 - Weihao Zhou, Zhi Wang, Wenwu Zhu:
Mining Urban WiFi QoS Factors: A Data Driven Approach. 9-16 - Christian Beecks, Sabrina Kletz, Klaus Schoeffmann:
Large-Scale Endoscopic Image and Video Linking with Gradient-Based Signatures. 17-21 - Shin Matsuo, Wataru Shimoda, Keiji Yanai
:
Twitter Photo Geo-Localization Using Both Textual and Visual Features. 22-25
Parallel Session 1 - BigMM (2): Novel and Incentive Applications of Multimedia Data
- Raghuraman Gopalan:
Walking on the Image Trail: Uncovering the Past and Predicting the Future. 26-32 - Chunbiao Zhu, Ge Li, Wenmin Wang, Ronggang Wang:
Salient Object Detection with Complex Scene Based on Cognitive Neuroscience. 33-37 - Yiping Yan, Lifeng Sun:
How to Promote TV Series? Evaluating Actors' Behavior on Social Media. 38-45 - Yi Yang, Guigang Zhang, Jian Wang, Shufeng Ye, Jianqiao Hu:
Integrated Recommendation for Public Cultural Service. 46-49
Parallel Session 1 - BigMM (3): Deep Learning and Cloud Computing I
- Samira Pouyanfar, Shu-Ching Chen:
T-LRA: Trend-Based Learning Rate Annealing for Deep Neural Networks. 50-57 - Fan Liu, Feng Xu, Sai Yang:
A Flood Forecasting Model Based on Deep Learning Algorithm via Integrating Stacked Autoencoders with BP Neural Network. 58-61 - Fan Liu, Yuhua Ding, Sai Yang, Feng Xu:
Patch Based Semi-supervsied Linear Regression for Single Sample Face Recognition. 62-65 - Sijie Shen, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa:
Fooling Neural Networks in Face Attractiveness Evaluation: Adversarial Examples with High Attractiveness Score But Low Subjective Score. 66-69 - Toshihiko Yamasaki, Takuto Honma, Kiyoharu Aizawa:
Efficient Optimization of Convolutional Neural Networks Using Particle Swarm Optimization. 70-73
Parallel Session 2 - BigMM (4): Content Analysis and Data Mining II
- Raghuraman Gopalan:
Image Clustering under Domain Shift. 74-77 - Danny Francis, Paul Pidou, Bernard Mérialdo, Benoit Huet:
Natural Language Access to Video Databases. 78-81
Parallel Session 2 - BigMM (5): Semantic Retrieval
- Yuguan Xing, Sosuke Amano, Toshihiko Yamasaki, Kiyoharu Aizawa, Makoto Ogawa:
Distributed Representation of Dish Names in Food Related Web Services for Associative Search and Nutrition Estimation. 82-85 - Peng Li, Peng Ren:
Partial Random Spherical Hashing for Large-Scale Image Retrieval. 86-89
Parallel Session 2 - BigMM (6): Ultra-High Efficiency Compression, Coding and Transmission of Multimedia Big Data
- Meng Wang, Xiaodong Xie, Junru Li, Huizhu Jia, Wen Gao:
Fast Rate Distortion Optimized Quantization Method Based on Early Detection of Zero Block for HEVC. 90-93 - Junru Li, Falei Luo, Yun Zhou, Shanshe Wang, Meng Wang, Siwei Ma:
Content Based Fast Intra Coding for AVS2. 94-97
Parallel Session 3 - BigMM (7): Content Analysis and Data Mining III
- Marko Stamenovic, Sam Schick, Jiebo Luo:
Machine Identification of High Impact Research through Text and Image Analysis. 98-104 - Jih-Jeng Huang:
Using Topic and Subjectivity Analysis for Overlapped Co-clustering Documents. 105-108 - Xiaoxue Zang, Toshihiko Yamasaki, Kiyoharu Aizawa, Tetsuhiro Nakamoto, Eitaro Kuwabara, Shinichi Egami, Yusuke Fuchida:
You Will Succeed or Not? Matching Prediction in a Marriage Consulting Service. 109-116 - Tongling Hu, Zechao Li, Weiyang Su, Xing Mu, Jinhui Tang:
Unsupervised Video Summaries Using Multiple Features and Image Quality. 117-120
Parallel Session 3 - BigMM (8): New Theory and Models for Multimedia Computing
- Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang:
Multi-view Subspace Learning with Diversity Enforced Skeleton Embedding. 121-128 - Xinyu Du, Peng Dai, Shengchun Wang, Yu Cheng, Dan Wu:
Coupled Wilson-Cowan Oscillator Model with Double-Node for Image Enhancement. 129-133 - Bo-Hao Chen, Ling-Feng Shi, Xiao Ke:
Low-Rank Representation with Contextual Regularization for Moving Object Detection in Big Surveillance Video Data. 134-141 - Shu Fang, Yang Yue, Liuyuan He, Kai Du, Yonghong Tian, Tiejun Huang:
Image Saliency Analysis Based on Retina Simulation. 142-145
Parallel Session 3 - BigMM (9): Content Analysis and Data Mining IV
- Hongmeng Song, Wenmin Wang, Jinzhuo Wang, Ronggang Wang:
Collaborative Deep Networks for Pedestrian Detection. 146-153 - Van Quan Nguyen, Hyung-Jeong Yang, Kyungbaek Kim, A-Ran Oh:
Real-Time Earthquake Detection Using Convolutional Neural Network and Social Data. 154-157 - Ting-Wei Lin, Man-Kwan Shan:
Correlation-Based Background Music Recommendation by Incorporating Temporal Sequence of Local Features. 158-164 - Wataru Shimoda, Keiji Yanai:
Learning Food Image Similarity for Food Image Retrieval. 165-168
Parallel Session 4 - BigMM (10): Content Analysis and Data Mining V
- Hiroshi Honjo, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi:
Constructing Geospatio-Temporal Concept Graphs from Tagged Images. 169-176 - Gurinderbeer Singh, Sreeraman Rajan, Shikharesh Majumdar:
A Greedy Data Association Technique for Multiple Object Tracking. 177-184 - Saad Sadiq, Yudong Tao, Yilin Yan, Mei-Ling Shyu:
Mining Anomalies in Medicare Big Data Using Patient Rule Induction Method. 185-192 - Shiming Ge, Qiting Ye, Zhao Luo, Shengwei Zhao:
Try Everything: Detecting Occluded Faces by Cascading Outrageous Proposal Generation and Deep Convolutional Neural Network. 193-196
Parallel Session 4 - BigMM (11): Security and Privacy in Multimedia Data/Multimedia System (Hybrid)
- Zhenzhong Kuang, Zongmin Li, Dan Lin, Jianping Fan:
Automatic Privacy Prediction to Accelerate Social Image Sharing. 197-200 - Bangxu Yin, Fan Chen, Hongjie He, Shu Yan:
Separable Reversible Data Hiding in Encrypted Image with Classification Permutation. 201-204 - Nan Zhu, Yangdi Lu, Wenbo He, Yu Hua:
A Content-Based Indexing Scheme for Large-Scale Unstructured Data. 205-212 - Flora Amato, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì:
Recommendation in Social Media Networks. 213-216
Parallel Session 4 - Workshop: IEEE/ACM
- Hirokazu Doi:
Biological Principles of Human Attractiveness Perception. 217-219 - Sijie Shen, Toshihiko Yamasaki, Kiyoharu Aizawa, Toru Sugahara:
Data-Driven Geometric Face Image Smilization Featuring Moving Least Square Based Deformation. 220-225 - Taku Yonezawa, Shoji Yamamoto, Hirokazu Doi, Kazuyuki Shinohara, Norimichi Tsumura:
Biological Responsiveness in Observing Sexual Attractiveness of Woman. 226-231 - Masato Yoshitake, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi:
Extracting Real-World Observations from Microblog. 232-237
Parallel Session 5 - Demo Session
- Marco A. Hudelist, Heinrich Husslein, Bernd Münzer, Sabrina Kletz, Klaus Schoeffmann:
A Tool to Support Surgical Quality Assessment. 238-239 - Sneha Vasisht, Min Chen:
Video-Based People Tracking. 240-241 - Haiman Tian, Shu-Ching Chen:
A Video-Aided Semantic Analytics System for Disaster Information Integration. 242-243 - Maria E. Presa Reyes, Shu-Ching Chen:
A 3D Virtual Environment for Storm Surge Flooding Animation. 244-245 - Abirami Ramanathan, Min Chen:
Spatiotemporal Vehicle Tracking, Counting and Classification. 246-247 - Zhao Luo, Qiting Ye, Shengwei Zhao, Shiming Ge:
An Ultra-Fast and Energy-Efficient Object Tracker. 248-249 - Qiting Ye, Zhao Luo, Xiaobing Xiao, Shiming Ge:
GeLoGo: Detecting TV Logos from Web-Scale Videos. 250-251
Parallel Session 6 - BigMM (12): Content Analysis and Data Mining VI
- Aminata Kane:
Trend and Value Based Time Series Representation for Similarity Search. 252-259 - Ashish Gupta, Alper Yilmaz:
Subspace Projection Methods for Large Scale Image Data Analysis. 260-267 - Haiman Tian, Shu-Ching Chen:
MCA-NN: Multiple Correspondence Analysis Based Neural Network for Disaster Information Detection. 268-275 - Li Du, Wenhui Jiang, Zhicheng Zhao, Fei Su:
Ego-Motion Classification for Driving Vehicle. 276-279
Parallel Session 6 - BigMM (13): Invited Paper I
- Lin Wu, Yongbin Wang, Shengyan Zhang, Yannan Zhang:
Fusing Gini Index and Term Frequency for Text Feature Selection. 280-283 - Xiaoling Feng, Huihui Bai, Yao Zhao:
Block-Level Entropy-Based Adaptive Sampling Framework for Depth Map. 284-290 - Ruixu Liu, Ju Shen, Qingquan Sun, Jianjun Yang, Sen-Ching S. Cheung:
Cascaded Pose Regression Revisited: Face Alignment in Videos. 291-298 - Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí:
Tiles-and WPP-based HEVC Decoding on Asymmetric Multi-core Processors. 299-302
Parallel Session 6 - BigMM (14): Deep Learning and Cloud Computing II
- Jung-Un Kim, Hang-Bong Kang:
LiDAR Based 3D Object Detection Using CCD Information. 303-309 - Zhenzhong Kuang, Zongmin Li, Tianyi Zhao, Jianping Fan:
Deep Multi-task Learning for Large-Scale Image Classification. 310-317 - Ayesha M. Talha, Ibrahim Kamel, Zaher Al Aghbari:
DISC: Query Processing on the Cloud Service Provider for Dynamic Spatial Databases. 318-321
Parallel Session 7 - BigMM (15): Hybrid
- Takuya Kamimura, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi:
On-line Geospatial Term Extraction from Streaming Geotagged Tweets. 322-329 - Hien To, Sumeet Agrawal, Seon Ho Kim, Cyrus Shahabi:
On Identifying Disaster-Related Tweets: Matching-Based or Learning-Based? 330-337 - Bo-Hao Chen, Jia-Li Yin, Ying Li:
Image Noise Removing Using Semi-supervised Learning on Big Image Data. 338-345 - Yu Wang, Javier Ribera, Chang Liu, Sri Yarlagadda, Fengqing Zhu:
Pill Recognition Using Minimal Labeled Data. 346-353
Parallel Session 7 - BigMM (16): Invited Paper II
- Kutalmis Akpinar, Kien A. Hua:
ThingStore - An Internet of Things Management System. 354-361 - Po-Chang Su, Ju Shen, Muhammad Usman Rafique:
RGB-D Camera Network Calibration and Streaming for 3D Telepresence in Large Environment. 362-369 - Tao Ruan, Shikui Wei, Xuetao Du, Yao Zhao:
Stabilizing Object Tracking Trajectory on the Basis of Kalman Filter. 370-375 - Kevin Desai, Uriel Haile Hernández Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Víctor Ayala-Ramírez, Vinu Johnson, Murry Gans:
Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL). 376-383
Parallel Session 8 - BigMM (17): Others
- Tianrun Gao, Yuexia Zhang, Xuzhen Zhu, Lihua Li:
Personalized Recommendation Based on Unbalanced Symmetrical Mass Diffusion. 384-388 - Gaolong Hu, Ling Xiong:
Criminisi-Based Sparse Representation for Image Inpainting. 389-393 - Shiyu Jin, Guoping Wang:
Interactive Dodging Inside a Single Remote Sensing Image. 394-397 - Wenjie Zhang, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
A Divide-and-Conquer Approach for Large-Scale Multi-label Learning. 398-401
Parallel Session 8 - Workshop: Big Data Analytics in Multimedia Sensor Networks
- Hao Liu, Zhiqiang Wei, Yitong Chen, Jie Pan, Le Lin, Yunfang Ren:
Drone Detection Based on an Audio-Assisted Camera Array. 402-406 - Lei Lyu, Naiqi Ma, Hong Liu:
Movement Tracking from Monocular Video Based on the Particle Filter. 407-412 - Lingheng Zhu, Wu Liu, Lingyang Chu, Peiye Liu, Xiaoyan Gu:
Query from Sketch: A Common Subgraph Correspondence Mining Framework. 413-418 - Jianquan Ouyang:
Combining Extreme Learning Machine, RF and HOG for Feature Extraction. 419-422
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