Search Results - "2017 IEEE International Conference on Multimedia and Expo (ICME)"

Remembering history with convolutional LSTM for anomaly detection by Weixin Luo, Wen Liu, Shenghua Gao

“…This paper tackles anomaly detection in videos, which is an extremely challenging task because anomaly is unbounded. We approach this task by leveraging a…”
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A subjective visual quality assessment method of panoramic videos by Mai Xu, Chen Li, Yufan Liu, Xin Deng, Jiaxin Lu

“…Different from 2-dimensional (2D) videos, panoramic videos contain spherical viewing direction with the support of head-mounted displays, thus improving…”
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Deep networks for compressed image sensing by Wuzhen Shi, Feng Jiang, Shengping Zhang, Debin Zhao

“…The compressed sensing (CS) theory has been successfully applied to image compression in the past few years as most image signals are sparse in a certain…”
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Select-additive learning: Improving generalization in multimodal sentiment analysis by Haohan Wang, Meghawat, Aaksha, Morency, Louis-Philippe, Xing, Eric P.

“…Multimodal sentiment analysis is drawing an increasing amount of attention these days. It enables mining of opinions in video reviews which are now available…”
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Decoder-side HEVC quality enhancement with scalable convolutional neural network by Ren Yang, Mai Xu, Zulin Wang

“…The latest High Efficiency Video Coding (HEVC) has been increasingly used to generate video streams over Internet. However, the decoded HEVC video streams may…”
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A closer look: Small object detection in faster R-CNN by Eggert, Christian, Brehm, Stephan, Winschel, Anton, Zecha, Dan, Lienhart, Rainer

“…Faster R-CNN is a well-known approach for object detection which combines the generation of region proposals and their classification into a single pipeline…”
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Evolving boxes for fast vehicle detection by Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue

“…We perform fast vehicle detection from traffic surveillance cameras. A novel deep learning framework, namely Evolving Boxes, is developed that proposes and…”
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Multi-scale exposure fusion via gradient domain guided image filtering by Fei Kou, Zhengguo Li, Changyun Wen, Weihai Chen

“…Multi-scale exposure fusion is an efficient way to fuse differently exposed low dynamic range (LDR) images of a high dynamic range (HDR) scene into a high…”
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Deep convolutional recurrent neural network with attention mechanism for robust speech emotion recognition by Che-Wei Huang, Narayanan, Shrikanth Shri

“…We present a deep convolutional recurrent neural network for speech emotion recognition based on the log-Mel filterbank energies, where the convolutional…”
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Improving triplet-wise training of convolutional neural network for vehicle re-identification by Yiheng Zhang, Dong Liu, Zheng-Jun Zha

“…Vehicle re-identification (re-id) plays an important role in the automatic analysis of the drastically increasing urban surveillance videos. Similar to the…”
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Unsupervised cross-modal retrieval through adversarial learning by Li He, Xing Xu, Huimin Lu, Yang Yang, Fumin Shen, Heng Tao Shen

“…The core of existing cross-modal retrieval approaches is to close the gap between different modalities either by finding a maximally correlated subspace or by…”
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An efficient deep convolutional neural networks model for compressed image deblocking by Ke Li, Bare, Bahetiyaer, Bo Yan

“…Convolutional neural networks (CNNs) have been widely used in image processing community. Image deblocking is a post-processing strategy, which aims to reduce…”
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Unsupervised feature selection with ordinal locality by Jun Guo, Yanqing Guo, Xiangwei Kong, Ran He

“…Unsupervised feature selection has shown significant potential in distance-based clustering tasks. This paper proposes a novel triplet induced method. Firstly,…”
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Analyzing the group sparsity based on the rank minimization methods by Zhiyuan Zha, Xin Liu, Xiaohua Huang, Henglin Shi, Yingyue Xu, Qiong Wang, Lan Tang, Xinggan Zhang

“…Sparse coding has achieved a great success in various image processing studies. However, there is not any benchmark to measure the sparsity of image…”
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Vision-based parking-slot detection: A benchmark and a learning-based approach by Linshen Li, Lin Zhang, Xiyuan Li, Xiao Liu, Ying Shen, Lu Xiong

“…Recent years have witnessed a growing interest in developing automatic parking systems in the field of intelligent vehicle. However, how to effectively and…”
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A deep convolutional neural network approach for complexity reduction on intra-mode HEVC by Tianyi Li, Mai Xu, Xin Deng

“…The High Efficiency Video Coding (HEVC) standard significantly saves coding bit-rate over the proceeding H.264 standard, but at the expense of extremely high…”
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Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding by Verdoja, Francesco, Thomas, Diego, Sugimoto, Akihiro

“…Segmentation of 3D colored point clouds is a research field with renewed interest thanks to recent availability of inexpensive consumer RGB-D cameras and its…”
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DualNet: Domain-invariant network for visual question answering by Saito, Kuniaki, Shin, Andrew, Ushiku, Yoshitaka, Harada, Tatsuya

“…Visual question answering (VQA) tasks use two types of images: abstract (illustrations) and real. Domain-specific differences exist between the two types of…”
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End-to-end learning for dimensional emotion recognition from physiological signals by Keren, Gil, Kirschstein, Tobias, Marchi, Erik, Ringeval, Fabien, Schuller, Bjorn

“…Dimensional emotion recognition from physiological signals is a highly challenging task. Common methods rely on hand-crafted features that do not yet provide…”
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Incorporating intra-class variance to fine-grained visual recognition by Yan Em, Feng Gag, Yihang Lou, Shiqi Wang, Tiejun Huang, Ling-Yu Duan

“…Fine-grained visual recognition aims to capture discriminative characteristics amongst visually similar categories. The state-of-the-art research work has…”
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