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In proposed work we presented a system for markerless motion capture for 3D human character animation, paper presents a survey on motion and skeleton tracking techniques which are developed or are under development. The paper proposed a method to transform the motion of a performer to a 3D human character (model), the 3D human character performs similar movements as that of a performer in real time. In the proposed work,<br /> human model data will be captured by Kinect camera, processed data will be applied on 3D human model for animation. 3D human model is created using open source software (MakeHuman). Anticipated dataset for sport activity is considered as input which can be applied to any HCI application.</p> <p style="text-align:justify;"> <span style="color:#800000;"><strong>KEYWORDS</strong></span><br /> Motion capture, Depth information, Rotation matrix, Animation</p> <div class="xhf7k"><strong><span style="color:#339966;">o<span style="color:#008000;">riginal source link :<span style="color:#ff0000;"><a style="color:#ff0000;" href="http://airccse.org/journal/ijcga/papers/4114ijcga03.pdf"> http://airccse.org/journal/ijcga/papers/4114ijcga03.pdf</a></span></span></span></strong></div> <div></div> <div class="xhf7k"><strong><span style="color:#008000;"> Volume Link : <span style="color:#ff0000;"><a style="color:#ff0000;" href="http://airccse.org/journal/ijcga/vol4.html">http://airccse.org/journal/ijcga/vol4.html</a></span></span></strong></div> <div></div> <div></div> <div></div> <div></div> <div style="text-align:center;"> <span style="color:#ff0000;"> <strong>MULTIMEDIA MINING RESEARCH – AN OVERVIEW</strong></span></div> <div style="text-align:center;"> <span style="color:#ff6600;"><strong>Dr. S.Vijayarani1 and Ms. A.Sakila2</strong></span></div> <div style="text-align:center;"> <span style="color:#993300;"><strong>1Assistant Professor, Department of Computer Science, Bharathiar University,</strong></span><br /> <span style="color:#993300;"><strong>Coimbatore.</strong></span><br /> <span style="color:#993300;"><strong>2M.Phil Research Scholar, Department of Computer Science, Bharathiar University,</strong></span><br /> <span style="color:#993300;"><strong>Coimbatore.</strong></span></div> <div></div> <div></div> <div></div> <div><span style="color:#800080;"><strong>Abstract</strong></span></div> <div style="text-align:justify;"> Multimedia data mining is a popular research domain which helps to extract interesting knowledge from multimedia data sets such as audio, video, images, graphics, speech, text and combination of several types of data sets. Normally, multimedia data are categorized into unstructured and semi-structured data. These data are stored inmultimedia databases and multimedia mining is used to find useful information from<br /> large multimedia database system by using various multimedia techniques and powerful tools. This paper provides the basic concepts of multimedia mining and its essential characteristics. Multimedia mining architectures for structured and unstructured data, research issues in multimedia mining, data mining models used for multimedia mining and applications are also discussed in this paper. It helps the researchers to get the knowledge about how to do their research in the field of multimedia mining.</div> <div style="text-align:justify;"> <span style="color:#800080;"><strong>Keywords</strong>:</span></div> <div></div> <div style="text-align:justify;">Data Mining, Multimedia Mining, Architectures, Applications, Models</div> <div></div> <div> <div class="xhf7k"><strong><span style="color:#339966;">o<span style="color:#008000;">riginal source link :<span style="color:#ff0000;"> <a href="http://airccse.org/journal/ijcga/papers/5115ijcga05.pdf">http://airccse.org/journal/ijcga/papers/5115ijcga05.pdf</a></span></span></span></strong></div> <div></div> <div class="xhf7k"><strong><span style="color:#008000;"> Volume Link : <a href="http://airccse.org/journal/ijcga/vol5.html">http://airccse.org/journal/ijcga/vol5.html</a></span></strong></div> </div> <div></div> <div></div> <div></div> <div style="text-align:center;"></div> <div style="text-align:center;"> <strong> <span style="color:#ff0000;"> Child Education Through Animation </span></strong><span style="color:#ff0000;"><strong>An Experimental Study</strong></span></div> <div></div> <div style="text-align:center;"><span style="color:#0000ff;"><strong>Md. Baharul Islam1 </strong></span><span style="color:#0000ff;"><strong>, Arif Ahmed2 </strong></span><span style="color:#0000ff;"><strong>, Md. Kabirul Islam2 </strong></span><span style="color:#0000ff;"><strong>and Abu Kalam</strong></span><br /> <span style="color:#0000ff;"><strong>Shamsuddin2</strong></span></p> <p><span style="color:#993300;"><strong>Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia</strong></span><br /> <span style="color:#993300;"><strong>2Department of Multimedia and Creative Technology, Daffodil InternationalUniversity,</strong></span><br /> <span style="color:#993300;"><strong>Dhaka-1207, Bangladesh </strong></span></div> <div></div> <div></div> <div></div> <div></div> <div><span style="color:#800080;"><strong>ABSTRACT</strong></span></div> <div style="text-align:justify;"> Teachers have tried to teach their students by introducing text books along with verbal instructions in traditional education system. However, teaching and learning methods could be changed for developing Information and Communication Technology (ICT). It’s time to adapt students with interactive learning system so that they can improve their learning, catching, and memorizing capabilities. It is indispensable to create high quality and realistic leaning environment for students. Visual learning can be easier to understand and deal with their learning. We developed visual learning materials (an overview of solar system) in the form of video for students of primary level using different multimedia application tools. The objective of this paper is to examine the impact of student’s abilities to acquire new knowledge or skills through visual learning materials and blended leaning that is integration of visual learning materials with<br /> teacher’s instructions. We visited a primary school in Dhaka city for this study and conducted teaching with three different groups of students (i) teacher taught students by traditional system on same materials and marked level of student’s ability to adapt by a set of questions (ii) another group was taught with only visual learning material and assessment was done with 15 questionnaires, (iii) the third group was taught with the video of solar system combined with teacher’s instructions and assessed with the same<br /> questionnaires. This integration of visual materials (solar system) with verbal instructions is a blended approach of learning. The interactive blended approach greatly promoted students ability of acquisition of knowledge and skills. Students response and perception were very positive towards the blended technique than the other twomethods. This interactive blending leaning system may be an appropriate method<br /> especially for school children.</div> <div style="text-align:justify;"> <span style="color:#800080;"><strong>KEYWORDS</strong></span></div> <div style="text-align:justify;"> Animation, Blended learning, Education, ICT, Multimedia, Visual learning</div> <div></div> <div> <div class="xhf7k"><strong><span style="color:#339966;">o<span style="color:#008000;">riginal source link : <a href="http://airccse.org/journal/ijcga/papers/4414ijcga04.pdf">http://airccse.org/journal/ijcga/papers/4414ijcga04.pdf</a></span></span></strong></div> <div></div> <div class="xhf7k"><strong><span style="color:#008000;"> Volume Link :<a href="http://airccse.org/journal/ijcga/vol4.html">http://airccse.org/journal/ijcga/vol4.html</a></span></strong></div> </div> <div></div> <div></div> <div></div> <div></div> <div></div> <div style="text-align:center;"><span style="color:#ff6600;"><strong>PERFORMANCE ANALYSIS OF CHAIN CODE</strong></span><span style="color:#ff6600;"><strong>DESCRIPTOR FOR HAND SHAPE CLASSIFICATION</strong></span></div> <div style="text-align:center;"> <span style="color:#ff00ff;"><strong>Kshama Fating1</strong></span><span style="color:#ff00ff;"><strong>and Archana Ghotkar2</strong></span></div> <div style="text-align:center;"> <span style="color:#3366ff;"><strong>Department of Computer Engineering, Pune Institute of Computer Technology,</strong></span><br /> <span style="color:#3366ff;"><strong>Pune, India</strong></span></div> <div></div> <div></div> <div></div> <div><span style="color:#800080;"><strong>ABSTRACT</strong></span></div> <div></div> <div>Feature Extraction is an important task for any Image processing application. The visual properties of any image are its shape, texture and colour. Out of these shape description plays important role in any image classification. The shape description method classified into two types, contour base and region based. The contour base method concentrated on the shape boundary line and the region based method considers whole area. In this paper, contour based, the chain code description method was experimented for different<br /> hand shape. The chain code descriptor of various hand shapes was calculated and tested with different classifier such as k-nearest- neighbour (k-NN), Support vector machine (SVM) and Naive Bayes. Principal component analysis (PCA) was applied after the chain code description. The performance of SVM was found better than k-NN and Naive Bayes with recognition rate 93%.</div> <div> <span style="color:#800080;"><strong>KEYWORDS</strong></span></div> <div> Feature extraction, Chain code, k-NN, SVM, Naive Bayes</div> <div></div> <div> <div></div> <div> <div class="xhf7k"><strong><span style="color:#339966;">o<span style="color:#008000;">riginal source link : <a href="http://airccse.org/journal/ijcga/papers/4214ijcga02.pdf">http://airccse.org/journal/ijcga/papers/4214ijcga02.pdf</a></span></span></strong></div> <div></div> <div class="xhf7k"><strong><span style="color:#008000;"> Volume Link : <a href="http://airccse.org/journal/ijcga/vol4.html"> http://airccse.org/journal/ijcga/vol4.html</a></span></strong></div> </div> </div> <div></div> <div></div> <div></div> <div></div> <div style="text-align:center;"></div> <div style="text-align:center;"><span style="color:#993300;"><strong>A Study of Visualization Elements of Shadow Play</strong></span><br /> <span style="color:#993300;"><strong>Technique Movement and</strong></span><span style="color:#993300;"><strong>Computer Graphic Imagery (CGI) in Wayang Kulit</strong></span><br /> <span style="color:#993300;"><strong>Kelantan</strong></span></div> <div style="text-align:center;"> <span style="color:#0000ff;"><strong>Dahlan Abdul Ghani</strong></span></div> <div style="text-align:center;"> <span style="color:#ff6600;"><strong>Malaysian Institute of Information TechnologyUniversiti Kuala Lumpur,Malaysia</strong></span></div> <div></div> <div></div> <div></div> <div><span style="color:#800080;"><strong>Abstract </strong></span></div> <div></div> <div>In the attempt to preserve and safeguard the unique heritage of Wayang Kulit (Shadow<br /> Play),UNESCO has designated it as a Masterpiece of Oral and Intangible Heritage of Humanity on 7th November 2003. Wayang Kulit Kelantan in Malaysia is threatened with imminent extinction. This paper reviews the critical situation of Wayang Kulit Kelantan in Malaysia. The visualization and movement of Wayang Kulit Kelantan is described into four major aspect, which are the puppets, shadows, screen for shadow projection (Kelir) and its light source. It also reviews the comparison methods and techniques<br /> between Wayang Kulit Kelantan traditional shadow play and Computer Graphics Imagery (CGI) used as a prototype design in traditional Wayang Kulit Kelantan.</div> <div> <span style="color:#800080;"><strong>Keywords </strong></span></div> <div></div> <div style="text-align:justify;">Wayang Kulit Kelantan, Shadow Play, puppets, kelir, Computer Graphic Imagery (CGI),<br /> visualization, prototype.</div> <div></div> <div><strong><span><span><span style="color:#339966;">o</span></span><span style="color:#008000;">riginal source link : <a href="http://airccse.org/journal/ijcga/papers/1111ijcga01.pdf"> http://airccse.org/journal/ijcga/papers/1111ijcga01.pdf</a></span></span></strong></div> <div></div> <div><strong><span style="color:#008000;"> Volume Link : <a href="http://airccse.org/journal/ijcga/vol1.html">http://airccse.org/journal/ijcga/vol1.html</a></span></strong></div> <div></div> <div></div> <div></div> <div style="text-align:center;"></div> <div></div> <div style="text-align:center;"><span style="color:#993300;"><strong>Prospects and Challenges of the Animation </strong></span><span style="color:#993300;"><strong>Industry in Bangladesh</strong></span></div> <div style="text-align:center;"> <span style="color:#ff6600;"><strong>Md. Bharul Islam1 </strong></span><span style="color:#ff6600;"><strong>, Abu Kalam Shamsuddin1 </strong></span><span style="color:#ff6600;"><strong>and Moshiur Rahman Choudhury2</strong></span></div> <div style="text-align:center;"> <span style="color:#0000ff;"><strong>1Department of Multimedia Technology and Creative Arts, Daffodil International</strong></span><br /> <span style="color:#0000ff;"><strong>University, Dhaka-1207, Bangladesh</strong></span></p> </div> <div></div> <div></div> <div></div> <div></div> <div style="text-align:justify;"><span style="color:#800000;"><strong>ABSTRACT</strong></span></div> <div style="text-align:justify;"> Many developing countries are successfully developing their animation industries which are already contributed to their economic growth. It is noted that these countries have the potentials to become hubs for working international quality animation products due to low labor cost. For the purpose of reviewing the prospects of these industries, in Bangladesh, the researchers visited some selected animation studios in the capital city. Data was collected from 16 animation and multimedia studios using direct interviews, telephone conversations, and website visits etc. The main purpose of this study is to find out the prospects and challenges of animation industries in Bangladesh.</div> <div style="text-align:justify;"> <span style="color:#800000;"><strong>KEYWORDS</strong></span></div> <div style="text-align:justify;"> Animation, Advertisement, Bangladesh, Film industries, Marketing</div> <div></div> <div><strong><span style="color:#339966;"><span style="color:#008000;">o</span><span style="color:#008000;">riginal source link :<a href="http://airccse.org/journal/ijcga/papers/3313ijcga02.pdf"> http://airccse.org/journal/ijcga/papers/3313ijcga02.pdf</a></span></span></strong></div> <div></div> <div><strong><span style="color:#008000;"> Volume Link : <a href="http://airccse.org/journal/ijcga/vol3.html">http://airccse.org/journal/ijcga/vol3.html</a></span></strong></div> <div></div> <div></div> <div></div> <div></div> <div></div> <div style="text-align:center;"><span style="color:#ff0000;"><strong>SEGMENTATION OF CYSTS IN KIDNEY AND 3-D </strong></span><span style="color:#ff0000;"><strong>VOLUME CALCULATION FROM CT IMAGES</strong></span></div> <div style="text-align:center;"> <span style="color:#ff6600;"><strong>Nanzhou Piao, Jong-Gun Kim, and Rae-Hong Park</strong></span></div> <div style="text-align:center;"> <span style="color:#800000;"><strong>Department of Electronic Engineering, School of Engineering, Sogang University</strong></span><br /> <span style="color:#800000;"><strong>35 Baekbeom-ro, Mapo-gu, Seoul, 121-742, Korea</strong></span></div> <div></div> <div></div> <div></div> <div><span style="color:#800080;"><strong>ABSTRACT</strong></span></div> <div style="text-align:justify;"> This paper proposes a segmentation method and a three-dimensional (3-D) volume calculation method of cysts in kidney from a number of computer tomography (CT) slice images. The input CT slice images contain both sides of kidneys. There are two segmentation steps used in the proposed method: kidney segmentation and cyst segmentation. For kidney segmentation, kidney regions are segmented from CT slice<br /> images by using a graph-cut method that is applied to the middle slice of input CT slice images. Then, the same method is used for the remaining CT slice images. In cyst segmentation, cyst regions are segmented from the kidney regions by using fuzzy C-means clustering and level-set methods that can reduce noise of non-cyst regions. For 3-D volume calculation, cyst volume calculation and 3-D volume visualization are used. In cyst volume calculation, the area of cyst in each CT slice image equals to the number of pixels in the cyst regions multiplied by spatial density of CT slice images, and then the volume of cysts is calculated by multiplying the cyst area and thickness (interval) of CT slice images. In 3-D volume visualization, a 3-D visualization technique is used to show the distribution of cysts in kidneys by using the result of cyst volume calculation. The total 3-D volume is the sum of the calculated cyst volume in each CT slice image.<br /> Experimental results show a good performance of 3-D volume calculation. The proposed cyst segmentation and 3-D volume calculation methods can provide practical supports to surgery options and medical practice to medical students.</div> <div style="text-align:justify;"> <span style="color:#800080;"><strong>KEYWORDS</strong></span></div> <div> Computer Tomography, Slice Images, Image Segmentation, 3-D Visualization, Kidney Segmentation, Cyst, Cyst Segmentation, Graph-cut, Level-set Method, Fuzzy C-means Clustering, Volume Calculation.</div> <div></div> <div><strong><span style="color:#339966;"><span style="color:#008000;">o</span><span style="color:#008000;">riginal source link :<a href="http://airccse.org/journal/ijcga/papers/5115ijcga01.pdf">http://airccse.org/journal/ijcga/papers/5115ijcga01.pdf </a></span></span></strong></div> <div></div> <div><strong><span style="color:#008000;"> Volume Link :<a href="http://airccse.org/journal/ijcga/vol5.html">http://airccse.org/journal/ijcga/vol5.html</a></span></strong></div> <div></div> <div></div> <div></div> <div></div> <div></div> <div style="text-align:center;"><span style="color:#ff0000;"><strong>FEATURE BASED GHOST REMOVAL IN HIGH </strong></span><span style="color:#ff0000;"><strong>DYNAMIC RANGE IMAGING</strong></span></div> <div style="text-align:center;"> <span style="color:#ff6600;"><strong>Hwan-Soon Sung1 , Rae-Hong Park1 , Dong-Kyu Lee1 , and SoonKeun Chang2</strong></span></div> <div style="text-align:center;"> <span style="color:#993300;"><strong>1Department of Electronic Engineering, School of Engineering, Sogang University,</strong></span><br /> <span style="color:#993300;"><strong>35 Baekbeom-ro (Sinsu-dong), Mapo-gu, Seoul 121-742, Korea Samsung Electronics Co., Ltd., Suwon, Gyeonggi-do 443-742, Korea</strong></span></div> <div></div> <div></div> <div></div> <div><span style="color:#993300;"><strong>ABSTRACT</strong></span></div> <div style="text-align:justify;"> This paper presents a technique to reduce the ghost artifacts in a high dynamic range (HDR) image. In HDR imaging, we need to detect the motion between multiple exposure images of the same scene in order to prevent the ghost artifacts. First, we establish correspondences between the aligned reference image and the other exposure images using the zero-mean normalized cross correlation (ZNCC). Then, we find object<br /> motion regions using adaptive local thresholding of ZNCC feature maps and motion map clustering. In this process, we focus on finding accurate motion regions and on reducing false detection in order to minimize the side effects as well. Through experiments with several sets of low dynamic range images captured with different exposures, we show that the proposed method can remove the ghost artifacts better than existing methods.</div> <div> <span style="color:#993300;"><strong>KEYWORDS</strong></span></div> <div> High Dynamic Range Imaging, Ghost Removal, Motion Detection, Radiance Map Generation</div> <div></div> <div> <div><strong><span style="color:#339966;"><span style="color:#008000;">o</span><span style="color:#008000;">riginal source link :<a href="http://airccse.org/journal/ijcga/papers/3413ijcga03.pdf">http://airccse.org/journal/ijcga/papers/3413ijcga03.pdf</a></span></span></strong></div> <div></div> <div><strong><span style="color:#008000;"> Volume Link :<a href="http://airccse.org/journal/ijcga/vol3.html">http://airccse.org/journal/ijcga/vol3.html</a></span></strong></div> </div> <div></div> <div></div> <div></div> <div style="text-align:center;"><span style="color:#ff0000;">DEPTH MAP GENERATION USING LOCAL DEPTH </span><span style="color:#ff0000;">HYPOTHESIS FOR 2D-TO-3D CONVERSION</span></div> <div style="text-align:center;"> <span style="color:#800000;">Na-Eun Yang1, Ji Won Lee2, and Rae-Hong Park3</span></div> <div style="text-align:center;"> <span style="color:#ff00ff;">1,2,3Department of Electronic Engineering, Sogang University, Seoul, Korea</span></p> </div> <div></div> <div></div> <div></div> <div><span style="color:#808000;"><strong>ABSTRACT</strong></span></div> <div style="text-align:justify;"> A single two dimensional (2D) image does not contain depth information. An infinite number of points in the three dimensional (3D) space are projected to the same point in the image plane. But a single 2D image has some monocular depth cues, by which we can make a hypothesis of depth variation in the image to generate a depth map. This paper proposes an interactive method of depth map generation from a single image for 2D-to-3D conversion. Using a hypothesis of depth variation can reduce the human effort to<br /> generate a depth map. The only thing required from a user is to mark some salient regions to be distinguished with respect to depth variation. The proposed algorithm makes hypothesis of each salient region and generates a depth map of an input image. Experimental results show that the proposed method gives natural depth map in terms of human perception.</div> <div> <strong><span style="color:#808000;">KEYWORDS</span></strong></div> <div style="text-align:justify;"> Depth Estimation, Depth Map Generation, 2D-to-3D Conversion, Pseudo 3D</div> <div></div> <div> <div><strong><span style="color:#339966;"><span style="color:#008000;">o</span><span style="color:#008000;">riginal source link :<a href="http://airccse.org/journal/ijcga/papers/3113ijcga01.pdf">http://airccse.org/journal/ijcga/papers/3113ijcga01.pdf</a></span></span></strong></div> </div> <div></div> <div> <div><strong><span style="color:#008000;"> Volume Link :<a href="http://airccse.org/journal/ijcga/vol3.html">http://airccse.org/journal/ijcga/vol3.html</a></span></strong></div> </div> <div></div> <div></div> <div></div> <div></div> <div style="text-align:center;"><span style="color:#800000;"><strong>IMAGE QUALITY FEATURE BASED DETECTION </strong></span><span style="color:#800000;"><strong>ALGORITHM FOR FORGERY IN IMAGES</strong></span></div> <div style="text-align:center;"> <span style="color:#ff6600;"><strong>Shrishail Math1</strong><strong>and R.C.Tripathi2</strong></span></div> <div style="text-align:center;"> <strong><span style="color:#ff00ff;">Indian Institute of Information Technology, Allahabad, India,211012</span> </strong></div> <div></div> <div><span style="color:#ff9900;"><strong>ABSTRACT</strong></span></div> <div style="text-align:justify;"> The verifying of authenticity and integrity of images is a serious research issue. There are various types of techniques to create forged images for various intentions. In this paper, Attempt is made to verify the authenticity of image using the image quality features like markov and moment based features. They are found to have their best results in case of forgery involving splicing.</div> <div> <span style="color:#ff9900;"><strong>KEYWORDS</strong></span></div> <div style="text-align:justify;"> Image forgery, image quality, moments, Multiblock cosine transforms</div> <div></div> <div> <div> <div><strong><span style="color:#339966;"><span style="color:#008000;">o</span><span style="color:#008000;">riginal source link :<a href="http://airccse.org/journal/ijcga/papers/1111ijcga02.pdf">http://airccse.org/journal/ijcga/papers/1111ijcga02.pdf</a></span></span></strong></div> <div></div> </div> <div> <div><strong><span style="color:#008000;"> Volume Link :<a href="http://airccse.org/journal/ijcga/vol1.html">http://airccse.org/journal/ijcga/vol1.html</a></span></strong></div> </div> </div> <div></div> <div id="atatags-370373-67468f39f3034"> <script type="text/javascript"> __ATA.cmd.push(function() { __ATA.initVideoSlot('atatags-370373-67468f39f3034', { sectionId: '370373', format: 'inread' }); 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