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Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2011 IEEE Symposium on

Date 11-15 April 2011

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  • [Front cover]

    Publication Year: 2011, Page(s): c1
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  • [Copyright notice]

    Publication Year: 2011, Page(s): ii
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  • Table of contents

    Publication Year: 2011, Page(s):iii - vi
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  • IEEE CIMSIVP 2011 committee symposium on computational intelligence for multimedia, signal and vision processing (IEEE CIMSIVP 2011)

    Publication Year: 2011, Page(s):vii - ix
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  • A 9/7 wavelet-based lossless data hiding

    Publication Year: 2011, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB) | HTML iconHTML

    In this paper, a lossless data-hiding approach is presented based on quantized coefficients of discrete wavelet transform (DWT) in the frequency domain to embed secret message. Using the quantized coefficients for 9/7 wavelet filter in DWT, we embed secret data into the successive zero coefficients of the medium-high frequency components in each reconstructed block for 3-level 2-D DWT of a cover-i... View full abstract»

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  • Computational visual attention model capable of exploring similarity

    Publication Year: 2011, Page(s):7 - 11
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (470 KB) | HTML iconHTML

    Computational visual attention (CVA) model is one of the methods which focus on finding region of interesting (ROI) in an image or in a scene. Similarity attention is one important task in CVA. If there are many objects in a scene, people will pick up the most abnormal one, which perhaps the similar one or dissimilar one, according to the composition objects of the scene. Capability of similarity ... View full abstract»

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  • Extracting salient lines by Visual Attention for omnidirectional image classification

    Publication Year: 2011, Page(s):12 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (245 KB) | HTML iconHTML

    Representing an image as a set of its key and interesting lines facilitates the image understanding and classification. In this paper, we propose a method to extract the significant and interesting lines of the scene, which probably are useful in image classification. The proposed method is inspired from the Visual Attention, which is a perceptual mechanism in human and other primates that direct ... View full abstract»

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  • Exploiting automatic image segmentation to human detection and depth estimation

    Publication Year: 2011, Page(s):19 - 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1615 KB) | HTML iconHTML

    In this paper, we combine image segmentation techniques and face detection methods to extract the human from scenes. Firstly, skin regions are detected and an ellipse fitting method is employed to detect the face region and consequently locate the human position. Then we propose an improved automatic seeded region growing algorithm to segment the image. The initial seeds are generated automaticall... View full abstract»

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  • Local contrast stretch based tone mapping for high dynamic range images

    Publication Year: 2011, Page(s):26 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1188 KB) | HTML iconHTML

    This paper presents a local tone mapping method to render high dynamic range images on conventional displays. We adaptively stretch contrast in local regions to reproduce local contrast. In order to avoid halos, we use bilateral filtering to smooth the image prior to the contrast stretching operation. Our method is fast and easy to use, and the experiment results show that the technique can produc... View full abstract»

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  • Environmental sound extraction and incremental learning approach for real time concepts identification

    Publication Year: 2011, Page(s):33 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (425 KB) | HTML iconHTML

    Audio classification has been becoming very important in the field of multimedia researches dealing with audio processing and pattern recognition. Although major of them are focusing in “how”? Audio classifications should be semantic; the majority of them have neglected the importance of preprocessing step of environmental sound recognition, or using simply very classic sound classif... View full abstract»

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  • Context-based image re-ranking for content-based image retrieval

    Publication Year: 2011, Page(s):39 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (270 KB) | HTML iconHTML

    In the area of content based image retrieval, people always use the image similarity based on the concrete image parameters like color to rank the images. However the ranking criteria based on image similarity directly is not so significant enough because many images in the given large-scale image database have the approximate similarities to a given image. We propose a graph-based mutual reinforc... View full abstract»

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  • Block motion estimation based on search pattern and predictor

    Publication Year: 2011, Page(s):47 - 51
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (106 KB) | HTML iconHTML

    In this paper, a fast motion estimation algorithm combined hybrid predictor and search pattern (called HPS) is proposed to find the best motion vector (MV). Block-based motion estimation (ME) and pattern searching strategy are used to detect the fast vector motion. The advantages of the approach can improve the performance of existing fast ME algorithm and can efficiently use to video compression.... View full abstract»

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  • Dynamic vision sensor camera based bare hand gesture recognition

    Publication Year: 2011, Page(s):52 - 59
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB) | HTML iconHTML

    This paper proposes a method to recognize bare hand gestures using a dynamic vision sensor (DVS) camera. Different from conventional cameras, DVS cameras only respond to pixels with temporal luminance differences, which can greatly reduce the computational cost of comparing consecutive frames to track moving objects. Due to differences in available information, conventional vision techniques for g... View full abstract»

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  • New frame rate up-conversion based on foreground/background segmentation

    Publication Year: 2011, Page(s):67 - 70
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (182 KB) | HTML iconHTML

    Frame rate up-conversion (FRUC) increases the quality of a video by increasing its temporal frequency. Motion compensated and non-motion compensated frame rate up conversion techniques make up the two main classes of techniques used in this area. Halo artifacts and jaggy edges cause the quality of video to be reduced both subjectively and objectively in these techniques. In this paper, we introduc... View full abstract»

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  • Target-surround feature attention model of visual tracking

    Publication Year: 2011, Page(s):79 - 84
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    This paper presents a target-surround feature attention (TSFA) model for constructing attention-based visual tracking algorithm. This model extracts attentive region by distinguishing the color contrast between the interested target and its surround. A preference generator provides online feature transformation to update the target/surround biasing masks that describes the color composition associ... View full abstract»

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  • Multimodal optimization in the context of Sparse Component Analysis

    Publication Year: 2011, Page(s):85 - 91
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (148 KB) | HTML iconHTML

    In this work, we investigate the use of a multimodal search framework to deal with a representative formulation of the Sparse Component Analysis (SCA) problem. The proposed method, which employs an artificial immune network in the role of multimodal optimization tool, is explained and tested in different scenarios. The results are promising and indicate the relevance of using global search tool in... View full abstract»

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  • Estimations of viewed object sizes using a single-channel of visual evoked potentials

    Publication Year: 2011, Page(s):92 - 97
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (130 KB) | HTML iconHTML

    In order to create reading support systems, the feasibility of using viewed size predictions was evaluated using features of EEG waveforms. Viewer's occipital single channel potentials were measured while six sizes of Landolt circles were shown. Features such as series of potentials, latencies of P1 and N1 peaks, and 5 vectors of Fourier descriptors (FD) were extracted from the EEG waveforms. The ... View full abstract»

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  • Prediction of recall accuracy in a contextual understanding task using eye movement features

    Publication Year: 2011, Page(s):98 - 105
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (154 KB) | HTML iconHTML

    Contextual understanding, which consists of memory, reasoning and recall, is a key process of human-computer interactions and interfaces. To determine the possibility of predicting the recall accuracy of reading and memorizing tasks using features of eye movements for a targeted text, a contextual understanding task experiment was conducted. The relationship between eye movement during memorizatio... View full abstract»

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  • A feedback model of attentional effects in the visual cortex

    Publication Year: 2011, Page(s):106 - 113
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (394 KB) | HTML iconHTML

    Attention plays an important role in natural vision. Implementing realistic attentional processes in artificial vision systems could greatly improve their performance. However, existing models of attention do not adequately capture all of its complex effects on neural activity. In particular, existing models cannot reproduce recently reported effects such as shifting and scaling of receptive field... View full abstract»

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  • Investigation of local and global features for face detection

    Publication Year: 2011, Page(s):114 - 121
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB) | HTML iconHTML

    This work is concerned with the empirical evaluation of a set of local and global features under the context of frontal (including semi-profile) and full profile face classification. Integral LBP, Integral Histograms, PCA and Optimized Face Ratios features have been evaluated using SVM classifiers. A data set of about 14,000 face and 300,000 non face images has been used in the experiments. Face i... View full abstract»

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  • A radon wigner ville based image dissimilarity measure

    Publication Year: 2011, Page(s):122 - 126
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (108 KB) | HTML iconHTML

    In this paper, we introduce a radon wigner ville based image dissimilarity measure. The proposed Image distortion measure aims to combine the useful properties of the wigner ville and the directionality of the finite Radon transform for image quality assessment. The results are compared with several HVS and transform based measures of image quality on the basis of complexity of these measures and ... View full abstract»

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  • Parameter setting of self-quotient ε-filter using HOG feature distance

    Publication Year: 2011, Page(s):127 - 133
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB) | HTML iconHTML

    This paper describes parameter setting of self-quotient ε-filter (SQEF) using Histograms of Oriented Gradients (HOG) feature distance. Parameter setting problem is generally solved by maximization or minimization of some objective evaluation functions such as correlation and statistical independence. However, it is not always easy to set such objective evaluation functions when we handle fe... View full abstract»

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  • Combination of closest space and closest structure to ameliorate non-local means method

    Publication Year: 2011, Page(s):134 - 141
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2142 KB) | HTML iconHTML

    Recently non-local means (NLM) has been known to be one of the most attractive denoising algorithms. It alters each pixel by a weighted average of pixels in the image. The weights express the level of similarity between two small patches defined for two involved pixels. There are many propositions to ameliorate the performance of this method. One of branches is to seek the whole image the most sim... View full abstract»

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  • Color image cryptosystem using chaotic maps

    Publication Year: 2011, Page(s):142 - 147
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (318 KB) | HTML iconHTML

    Image encryption is somehow different from text encryption due to some inherent features of image such as bulk data capacity and high correlation among pixels, which are generally difficult to handle by traditional methods. The exceptionally desirable properties of the chaotic maps such as sensitivity to initial conditions and random-like behavior have attracted the attention of cryptographers to ... View full abstract»

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  • Author index

    Publication Year: 2011, Page(s): 148
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