{"title":"DFT-based fast superresolution image reconstruction using INLA approximation","authors":"M. O. Camponez, E. Salles, Mário Sarcinelli Filho","doi":"10.1109/ICIP.2012.6467335","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467335","url":null,"abstract":"Recently, we have successfully exploited and applied the new and powerful non-parametric Integrated Nested Laplace Approximation (INLA) Bayesian inference method to the problem of Superresolution (SR) image reconstruction, generating the INLA SR algorithm. Such approach achieved superior image reconstruction results in comparison to other state-of-the-art methods. In this paper we propose a modification in the mathematical model of the INLA SR, generating the new DFT INLA SR algorithm. It is shown that the new approach reduces the computation cost of the INLA SR algorithm (from O(n4) to O(n log(n))), as well as the dimension of the matrices handled (from n2 × n2 to n × n, the size of the HR image), at the cost of a slight reduction of the HR image quality.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129183571","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}
C. Weon, W. H. Nam, Duhgoon Lee, Youngkyoo Hwang, Jungbae Kim, Won-Chul Bang, J. Ra
{"title":"Position estimation of moving liver lesion based on registration between 2D ultrasound and 4D MR images","authors":"C. Weon, W. H. Nam, Duhgoon Lee, Youngkyoo Hwang, Jungbae Kim, Won-Chul Bang, J. Ra","doi":"10.1109/ICIP.2012.6467200","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467200","url":null,"abstract":"The interest for the registration between 2D ultrasound (US) and preoperative CT or MR images has been growing for US-guided diagnosis, intervention, and surgery. In our previous study, we proposed a real-time and automatic registration system between two images of the liver without any help of positioning sensors. We have confirmed that the system can provide an accurate and reliable registration performance, if sufficient features are included in a current US image. In this paper, we propose a robust position estimation system of a moving liver lesion based on the previously proposed registration system. The system indirectly but reliably estimates the lesion position by registering a US image including sufficient features to 4D MR images, even if the US image does not include the target lesion. The proposed system is evaluated on three clinical datasets, through both qualitative and quantitative evaluations. Experimental results show that the registration error for target lesions is less than 5 mm on average, which is considered acceptable for many clinical applications.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133647537","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}
Jufeng Yang, Kai Wang, Jiaofeng Li, Jiao Jiao, Jing Xu
{"title":"A fast adaptive binarization method for complex scene images","authors":"Jufeng Yang, Kai Wang, Jiaofeng Li, Jiao Jiao, Jing Xu","doi":"10.1109/ICIP.2012.6467253","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467253","url":null,"abstract":"A novel adaptive binarization method based on wavelet filter is proposed in this paper, which shows comparable performance to other similar methods and processes faster, so that it is more suitable for real-time processing and applicable for mobile devices. The proposed method is evaluated on complex scene images of ICDAR 2005 Robust Reading Competition, and experimental results provide a support for our work.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125232214","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}
{"title":"A new PEE-based reversible watermarking algorithm for color image","authors":"Jian Li, Xiaolong Li, Bin Yang","doi":"10.1109/ICIP.2012.6467326","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467326","url":null,"abstract":"This paper presents a new reversible watermarking algorithm for color image. The traditional technique is to embed data into each color channel independently. Considering that the color channels correlate with each other, we propose a reversible watermarking algorithm based on prediction-error expansion that can enhance the prediction accuracy in one color channel through exploiting the gradient information from the other channels. In doing so, the magnitude of the prediction-error is decreased generally, and consequently, the distortion to the host image is diminished. Experimental results demonstrate that the proposed algorithm outperforms the traditional methods that independently embed watermark into each channel.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125672697","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}
{"title":"Audio-visual emotion recognition using Boltzmann Zippers","authors":"Kun Lu, Yunde Jia","doi":"10.1109/ICIP.2012.6467428","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467428","url":null,"abstract":"This paper presents a novel approach for automatic audio-visual emotion recognition. The audio and visual channels provide complementary information for human emotional states recognition, and we utilize Boltzmann Zippers as model-level fusion to learn intrinsic correlations between the different modalities. We extract effective audio and visual feature streams with different time scales and feed them to two Boltzmann chains respectively. The hidden units of two chains are interconnected. Second-order methods are applied to Boltzmann Zippers to speed up learning and pruning process. Experimental results on audio-visual emotion data collected in Wizard of Oz scenarios demonstrate our approach is promising and outperforms single modal HMM and conventional coupled HMM methods.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117004973","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}
{"title":"Improved payload location for LSB matching steganography","authors":"Xinlu Gui, Xiaolong Li, Bin Yang","doi":"10.1109/ICIP.2012.6467062","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467062","url":null,"abstract":"The steganalysis of least significant bit (LSB) matching steganography has been well realized by many highly sensitive detectors so far, but few of them can analyze further to higher levels. Most of current steganalysis methods still stay in the low-level stage that can only detect the existence of secret message. In this paper, we focus on higher level steganalysis and an improved method for payload location of LSB matching is proposed. Our work is based on the combination and improvement of previous techniques including message length estimation and payload location. The proposed method first solves a regression problem to estimate the embedding rate utilizing steganalysis features. Then, the embedding payload can be located via optimal cover estimation and improved residuals calculation, in which the embedding rate achieved above is a crucial parameter. By this approach, the payload location method can be applied to practical use needless of any prior knowledge. Experimental results show that the proposed method outperforms the state-of-the-art work with a higher accuracy for payload location of LSB matching.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126771807","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}
{"title":"Region based stellate features for classification of mammographic spiculated lesions in computer-aided detection","authors":"Dae Hoe Kim, J. Choi, Yong Man Ro","doi":"10.1109/ICIP.2012.6467486","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467486","url":null,"abstract":"In this paper, new region-based stellate features have been developed for correctly differentiating spiculated malignant lesions from normal tissues in mammography. The purpose of using proposed features is to reduce the number of false positive that are produced during the detection of suspicious regions in computeraided detection (CAD). It has been well-known that one particularly important characteristic of spiculated lesions is that they have usually radiating patterns of linear spicules. Based on the aforementioned observation, we propose effective region-based stellate features, designed for well representing the stellate pattern information within a given region-of-interest (ROI). In particular, the proposed features are calculated using statistical information of the stellate patterns within local regions of a given ROI. The effectiveness of our stellate features has been successfully tested on two public mammogram databases (DBs).","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125797096","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}
Xiaobin Zhu, J. Liu, Jinqiao Wang, Yikai Fang, Hanqing Lu
{"title":"Anomaly detection in crowded scene via appearance and dynamics joint modeling","authors":"Xiaobin Zhu, J. Liu, Jinqiao Wang, Yikai Fang, Hanqing Lu","doi":"10.1109/ICIP.2012.6467457","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467457","url":null,"abstract":"In this paper, we propose a novel solution of anomaly detection in crowd scene by jointly modeling appearance and dynamics of motion. First, a novel high-frequency feature based on optical flow (HFOF) is introduced. It can well capture the dynamic information of optical flow. Besides, we adopt the other two types of features, namely multi-scale histogram of optical(MHOF), and dynamic textures (DT). MHOF reserves the motion direction information, while DT captures appearance variant property. The three types of features can complement each other in modeling crowd motions. Finally, multiple kernel learning (MKL) is adopted to train a classifier for anomaly detection. Experiments are conducted on a publicly available dataset of escaping scenarios from University of Minnesota and a challenging dataset from Internet. The results of comparative experiments show the promising performance against other related work.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"2021 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132583316","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}
{"title":"Patterns of weber magnitude and orientation for face recognition","authors":"Biao Wang, Weifeng Li, Zhimin Li, Q. Liao","doi":"10.1109/ICIP.2012.6467141","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467141","url":null,"abstract":"Feature extraction is vital for a successful face recognition system. In this paper, we propose a computationally efficient, discriminative and robust feature descriptor for face images, named Patterns of Weber magnitude and orientation (PWMO), which encodes Weber magnitude and orientation with patch-based local binary pattern (p-LBP) and patch-based local XOR pattern (p-LXP), respectively. Furthermore, whitened PCA is introduced to reduce the feature dimensionality and select the most discriminative feature sets, and the block-based scheme is incorporated to address the small sample size problem. The effectiveness and robustness of our proposed approach has been demonstrated experimentally on the well-known FERET database.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131130073","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}
{"title":"Moving camera video stabilization using homography consistency","authors":"Yu-Feng Hsu, Cheng-Chuan Chou, Ming-Yu Shih","doi":"10.1109/ICIP.2012.6467471","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467471","url":null,"abstract":"Videos recorded on moving cameras are often known to be shaky due to unstable carrier motion and the video stabilization problem involves inferring the intended smooth motion to keep and the unintended shaky motion to remove. However, conventional methods typically require proper, scenario-specific parameter setting, which does not generalize well across different scenarios. Moreover, we observe that a stable video should satisfy two conditions: a smooth trajectory and consistent inter-frame transition. While conventional methods only target at the former condition, we address these two issues at the same time. In this paper, we propose a homography consistency based algorithm to directly extract the optimal smooth trajectory and evenly distribute the inter-frame transition. By optimizing in the homography domain, our method does not need further matrix decomposition and parameter adjustment, automatically adapting to all possible types of motion (eg. translational or rotational) and video properties (eg. frame rates). We test our algorithm on translational videos recorded from a car and rotational videos from a hovering aerial vehicle, both of high and low frame rates. Results show our method widely applicable to different scenarios without any need of additional parameter adjustment.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123350057","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}