In this paper we proposed a motion classifier using Microsoft Kinect. The main algorithm was based on Dynamic Time Warping (DTW). We tested the classifier with 7 motions. The experimental results showed that DTW coupl...
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ISBN:
(纸本)9788988678558
In this paper we proposed a motion classifier using Microsoft Kinect. The main algorithm was based on Dynamic Time Warping (DTW). We tested the classifier with 7 motions. The experimental results showed that DTW coupled with human joint positions captured by Microsoft Kinect were capable of classifying the selected motions.
Multi-view Video plus Depth (MVD) data refer to a set of conventional color video sequences and an associated set of depth video sequences, all acquired at slightly different viewpoints. This huge amount of data neces...
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ISBN:
(纸本)9780819489357
Multi-view Video plus Depth (MVD) data refer to a set of conventional color video sequences and an associated set of depth video sequences, all acquired at slightly different viewpoints. This huge amount of data necessitates a reliable compression method. However, there is no standardized compression method for MVD sequences. H.264/MVC compression method, which was standardized for Multi-View-Video representation (MVV), has been the subject of many adaptations to MVD. However, it has been shown that MVC is not well adapted to encode multi-view depth data. We propose a novel option as for compression of MVD data. Its main purpose is to preserve joint color/depth consistency. The originality of the proposed method relies on the use of the decoded color data as a prior for the associated depth compression. This is meant to ensure consistency in both types of data after decoding. Our strategy is motivated by previous studies of artifacts occurring in synthesized views: most annoying distortions are located around strong depth discontinuities and these distortions are due to misalignment of depth and color edges in decoded images. Thus the method is meant to preserve edges and to ensure cosistent localization of color edges and depth edges. To ensure compatibility, colored sequences are encoded with H.264. Depth maps compression is based on a 2D still image codec, namely LAR (locally adapted resolution). It consists in a quad-tree representation of the images. The quad-tree representation contributes in the preservation of edges in both color and depth data. The adopted strategy is meant to be more perceptually driven than state-of-the-art methods. The proposed approach is compared to H.264 encoding of depth images. Objective metrics scores are similar with H.264 and with the proposed method, and visual quality of synthesized views is improved with the proposed approach.
This document presents our proposal for a workshop on service delivery/provision in smart environment. The proposed type of workshop is a mini-track, with expected 10 to 12 authors/participants, divided in three prese...
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ISBN:
(纸本)9781450312240
This document presents our proposal for a workshop on service delivery/provision in smart environment. The proposed type of workshop is a mini-track, with expected 10 to 12 authors/participants, divided in three presentation sessions.
This paper presents a software framework to implement connected television. The connected television framework is responsible to support applications running on the television receivers, but also to take advantage of ...
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ISBN:
(纸本)9781457702310
This paper presents a software framework to implement connected television. The connected television framework is responsible to support applications running on the television receivers, but also to take advantage of remote processing. It was developed a framework based on free software tools and implemented on a reference set-top box. Sample applications were developed and a set of performance tests was ran. The work results show a framework that is based on free software and that had satisfactory performance.
In the domain of electrical installations, as in many other areas where theoretical researches are intertwined with the experimental ones, there are some dependencies that are known and used in the initial given form,...
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ISBN:
(纸本)9781467311724;9781467311731
In the domain of electrical installations, as in many other areas where theoretical researches are intertwined with the experimental ones, there are some dependencies that are known and used in the initial given form, which can be graphically or tabular. Correction of the demand coefficients based on the equivalent number of receivers, the protection characteristics of the fuses and the photometric curves of luminaires are just some representative examples, in this regard. The development of some researches, expressing analytically the various conditions and requirements of characteristics for electrical devices, the parameters specific to consumption or correct, reliable and selective functionality, have led to the necessity of the analytical identification of the dependencies known graphical or tabular. This paper, first of all, presents the program developed by the authors, in LabVIEW, for the optimal analytical identification, of the dependencies known graphical or tabular. The program running results are presented bellow in order to identify the influence coefficient dependence on the demand coefficients, in relation with the equivalent number of receivers. One identified function is then used in analytical solving of two applications, extremely actual in the domain of low voltage electrical installations.
This paper presents a traitor tracing method dedicated to video content distribution. It is based on a two-level approach with probabilistic traitor tracing codes. Codes are concatenated and decoded successively, the ...
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ISBN:
(纸本)9780819489500
This paper presents a traitor tracing method dedicated to video content distribution. It is based on a two-level approach with probabilistic traitor tracing codes. Codes are concatenated and decoded successively, the first one is used to decrease the decoding complexity and the second to accuse users. We use the well-known Tardos fingerprinting code for the accusation process and a Boneh-Shaw code with replication scheme to reduce the search space of users. This method ensures a decrease of the computational time compared to classical Tardos codes decoding. We present a method to select suspect groups of users and compare it to a more complex two-level Tardos code which follows the same construction.
We show how we can make more efficient the time parallel simulation of monotone systems adapting Nicol's approach. We use the monotonicity of a model related to the initial state of the simulation and we prove an ...
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ISBN:
(纸本)9781447121541
We show how we can make more efficient the time parallel simulation of monotone systems adapting Nicol's approach. We use the monotonicity of a model related to the initial state of the simulation and we prove an algorithm with fix-up computations which minimises the number of runs before we get a consistent sample-path. We obtain proved upper or lower bounds of the sample path of the simulation and bounds of some estimates as well.
We have developed the geometrical stereo matching image guidance for ground vehicle on focused image pixel grouping and stacked images statistical operation. The two imagers are mounted on the 5 degrees of freedom gim...
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ISBN:
(纸本)9780819492043
We have developed the geometrical stereo matching image guidance for ground vehicle on focused image pixel grouping and stacked images statistical operation. The two imagers are mounted on the 5 degrees of freedom gimbal unit. The gimbal unit gives each imager the independent yaw and pitch movement, and makes the same rigid yaw rotation on the two imagers. The fast focus image is derived from the calculating the developed wavelet focus measure value of the horizontal high pass image and the vertical high pass image of the Daubechies wavelet transformed image. The highest wavelet focus measure value among them gives the best focus image directly. This focusing operation works finely similar to the other differential image techniques. We used the stereo matching operation between the binary blocked high pass images corresponding to the best focus image. To construct the binary blocked high pass image, we apply the 8 directional adjacent pixel connection to the binary high pass image. The group of the main block elements of the binary image can work as the appropriate matching block. The wide image and narrow image stereo matching operation on the binary high pass image give the correct matching. In particular the narrow image stereo matching operation provides the common area of the right image and the left image. For finding the surface we used the brightness variation of each pixel point through the stacked images for the focusing operation. The kinds of the calculated brightness variations are the standard variation and the absolute deviation from the average brightness on each pixel point. We applied the threshold to the variation and deviation to classify the image into the mild variation brightness surface area and rough variation brightness surface area. The rough variation brightness surface area covers the group of the main blocked elements in the binary image.
In this paper we discuss the relations between clustering and error correcting codes. We show that clustering can be used for constructing error correcting codes. We review the previous works found in the literature a...
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ISBN:
(纸本)9781467315067
In this paper we discuss the relations between clustering and error correcting codes. We show that clustering can be used for constructing error correcting codes. We review the previous works found in the literature about this issue, and propose a modification of a previous work that can be used for code construction from a set of proposed codewords.
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