2008 IEEE 10th Workshop on Multimedia Signal Processing最新文献_第6页

Macroblock-based adaptive interpolation filter method using new filter selection in H.264/AVC H.264/AVC中基于宏块的自适应插值滤波方法

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665113

K. Yoon, J. H. Kim

引用次数: 0

On the systematic generation of Tardos’s fingerprinting codes 论塔尔多斯指纹码的系统生成

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665174

M. Kuribayashi, N. Akashi, M. Morii

引用次数: 15

Efficient and effective transformed image identification 高效、有效的变换图像识别

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665141

M. Awrangjeb, Guojun Lu

{"title":"Efficient and effective transformed image identification","authors":"M. Awrangjeb, Guojun Lu","doi":"10.1109/MMSP.2008.4665141","DOIUrl":"https://doi.org/10.1109/MMSP.2008.4665141","url":null,"abstract":"The SIFT (scale invariant feature transform) has demonstrated its superior performance in identifying transformed images over many other approaches. However, both of its detection and matching stages are expensive, because a large number of keypoints are detected in the scale-space and each keypoint is described using a 128-dimensional vector. We present two possible solutions for feature-point reduction. First is to down scale the image before the SIFT keypoint detection and second is to use corners (instead of SIFT keypoints) which are visually significant, more robust, and much smaller in number than the SIFT keypoints. Either the curvature descriptor or the highly distinctive SIFT descriptors at corner locations can be used to represent corners.We then describe a new feature-point matching technique, which can be used for matching both the down-scaled SIFT keypoints and corners. Experimental results show that two feature-point reduction solutions combined with the SIFT descriptors and the proposed feature-point matching technique not only improve the computational efficiency and decrease the storage requirement, but also improve the transformed image identification accuracy (robustness).","PeriodicalId":402287,"journal":{"name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132234830","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: 7

Region-based image categorization with reduced feature set 基于区域特征集的图像分类

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665145

G. Herman, G. Ye, Jie Xu, Bang Zhang

{"title":"Region-based image categorization with reduced feature set","authors":"G. Herman, G. Ye, Jie Xu, Bang Zhang","doi":"10.1109/MMSP.2008.4665145","DOIUrl":"https://doi.org/10.1109/MMSP.2008.4665145","url":null,"abstract":"In this paper we propose a new algorithm for region-based image categorization that is formulated as a multiple instance learning (MIL) problem. The proposed algorithm transforms the MIL problem into a traditional supervised learning problem, and solves it using a standard supervised learning method. The features used in the proposed algorithm are the hyperclique patterns which are ldquocondensedrdquo into a small set of discriminative features. Each hyperclique pattern consists of multiple strongly-correlated instances (i.e., features). As a result, hyperclique patterns are able to capture the information that are not shared by individual features. The advantages of the proposed algorithm over existing algorithms are threefold: (i) unlike some existing algorithms which use learning methods that are specifically designed for MIL or for certain datasets, the proposed algorithm uses a general-purpose standard supervised learning method, (ii) it uses a significantly small set of features which are empirically more discriminative than the PCA features (i.e. principal components), and (iii) it is simple and efficient and achieves a comparable performance to most state-of-the-art algorithms. The efficiency and good performance of the proposed algorithm make it a practical solution to general MIL problems. In this paper, we apply the proposed algorithm to both drug activity prediction and image categorization, and promising results are obtained.","PeriodicalId":402287,"journal":{"name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133243872","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: 13

The SAIL speaker diarization system for analysis of spontaneous meetings 用于分析自发会议的SAIL扬声器分类系统

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665214

Kyu Jeong Han, P. Georgiou, Shrikanth S. Narayanan

引用次数: 5

Developing a smart camera for road traffic surveillance 开发用于道路交通监控的智能摄像头

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665188

Bei Na Wei, Yu Shi, G. Ye, Jie Xu

引用次数: 6

When multimedia advertising meets the new Internet era 当多媒体广告遇到新的互联网时代

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665039

Xiansheng Hua, Tao Mei, Shipeng Li

{"title":"When multimedia advertising meets the new Internet era","authors":"Xiansheng Hua, Tao Mei, Shipeng Li","doi":"10.1109/MMSP.2008.4665039","DOIUrl":"https://doi.org/10.1109/MMSP.2008.4665039","url":null,"abstract":"The advent of media-sharing sites, especially along with the so called Web 2.0 wave, has led to the unprecedented Internet delivery of community-contributed media contents such as images and videos, which have become the primary sources for online advertising. However, conventional ad-networks such as Google Adwords and AdSense treat image and video advertising as general text advertising by displaying the ads either relevant to the queries or the Web page content, without considering automatically monetizing the rich contents of individual images and videos. In this paper, we summarize the trends of online advertising and propose an innovative advertising model driven by the compelling contents of images and videos. We present recently developed ImageSense and VideoSense as two exemplary applications dedicated to images and videos, respectively, in which the most contextually relevant ads are embedded at the most appropriate positions within the images or videos. The ads are selected based on not only textual relevance but also visual similarity so that the ads yield contextual relevance to both the text in the Web page and the visual content. The ad insertion positions are detected based on visual saliency analysis to minimize the intrusiveness to the user. We also envision that the next trend of multimedia advertising would be game-alike advertising.","PeriodicalId":402287,"journal":{"name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124658042","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: 23

2-D dual multiresolution decomposition through NUDFB and its application 基于NUDFB的二维双多分辨率分解及其应用

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665131

Nannan Ma, H. Xiong, Li Song

引用次数: 3

Segmentation of characters on car license plates 车牌字符分割

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665111

Xiangjian He, Lihong Zheng, Qiang Wu, W. Jia, B. Samali, M. Palaniswami

引用次数: 32

Low-complexity frame importance modelling and resource allocation scheme for error-resilience H.264 video streaming H.264视频流的低复杂度帧重要性建模和资源分配方案

2008 IEEE 10th Workshop on Multimedia Signal Processing Pub Date : 2008-11-05 DOI: 10.1109/MMSP.2008.4665185

Gang Sun, Wei Xing, Dongming Lu

{"title":"Low-complexity frame importance modelling and resource allocation scheme for error-resilience H.264 video streaming","authors":"Gang Sun, Wei Xing, Dongming Lu","doi":"10.1109/MMSP.2008.4665185","DOIUrl":"https://doi.org/10.1109/MMSP.2008.4665185","url":null,"abstract":"In this paper, we addressed the problem of redundancy allocation for protecting packet loss for better quality of service (QoS) in real-time H.264 video streaming. A novel error-resilient approach is proposed for the transmission of pre-encoded H.264 video stream under bandwidth constrained networks. A novel frame importance model is derived for estimating relative importance index for different H.264 video frames. Combining with the characteristics of the network, the optimal resource allocation strategy for different video frames can be determined for achieving improved error resilience. The model uses frame error propagation index (FEPI) to characterize video quality degradation caused by error propagation in different frames in a GOP when suffer from packet loss. This model can be calculated in DCT domain with the parameters extracted directly from the bitstream. Therefore, the complexity of the proposed scheme is very low and much better for real-time video transmission. Simulation results show that the proposed scheme can improve the receiver side reconstructed video quality remarkably under different channel loss patterns.","PeriodicalId":402287,"journal":{"name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130899045","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: 1