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April 2020: Top Read Articles in Computer Graphics & Animation

MULTIMEDIA MINING RESEARCH – AN OVERVIEW

    Dr. S.Vijayarani and Ms. A.Sakila Department of Computer Science, Bharathiar University, Coimbatore

    ABSTRACT

    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 in multimedia databases and multimedia mining is used to find useful information from 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

    KEYWORDS

    Data Mining, Multimedia Mining, Architectures, Applications, Models


    For More Details :
    http://airccse.org/journal/ijcga/papers/5115ijcga05.pdf

    Volume Link :
    http://airccse.org/journal/ijcga/vol5.html



THE PLANI PLANT ANIMATION FRAMEWORK

    Tina L.M. Derzaph and Howard J. Hamilton Department of Computer Science, University of Regina, Regina, Saskatchewan

    ABSTRACT

    The PLant ANImation (PLANI) framework allows a designer’s ideas and decisions about virtual plants to be guided through a structured process that results in an animation of a plant. The process proceeds by selecting relevant objects with properties from four logically grouped domains to simplify implementation. The resulting grouped objects are used as the baseline parameters for the coding process to create the virtual plant. PLANI’s construction is based on more than a thousand years of biological research, fifty years of functional-structural plant modelling, and ten years of ontology development, instantiated into an animation environment. PLANI ensures that, when designing virtual plants, a selection of objects derived from an appropriate ontology are considered, and that this selection depends on the purpose of the animation, e.g., whether it is for gaming animation, biological simulation, or film animation. The use of PLANI provides the developer with a framework that is flexible, covers a wide variety of structural, functional, and animation objects for plants, and provides classification of current computer algorithms by their applications to designing virtual plants.

    KEYWORDS

    Ontology, Virtual Plant, Animation, Framework, Plant Animation, Plant Ontology, Gene Ontology, Plant Trait Ontology, Plant Environment Ontology..


    For More Details :
    http://aircconline.com/ijcga/V7N2/7217ijcga01.pdf

    Volume Link :
    http://airccse.org/journal/ijcga/vol7.html



DEPTH MAP GENERATION USING LOCAL DEPTH HYPOTHESIS FOR 2D-TO-3D CONVERSION

    Na-Eun Yang1, Ji Won Lee2, and Rae-Hong Park3 1,2,3Department of Electronic Engineering, Sogang University, Seoul, Korea

    ABSTRACT

    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 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.

    KEYWORDS

    Depth Estimation, Depth Map Generation, 2D-to-3D Conversion, Pseudo 3D.


    For More Details :
    http://airccse.org/journal/ijcga/papers/3113ijcga01.pdf

    Volume Link :
    http://airccse.org/journal/ijcga/vol3.html



THE UPLIFT MODEL TERRAIN GENERATOR

    J R Rankin La Trobe University Bundoora, Australia

    ABSTRACT

    Terrain generation finds many applications such as in CGI movies, animations and video games. This paper describes a new and simple-to-implement terrain generator called the Uplift Model. It is based on the theory of crustal deformations by uplifts in Geology. When a number of uplifts are made on the Earth’s surface, the final net effect is an average of the influence of each uplift at each point on the terrain. The result of applying this model from Nature is a very realistic looking effect in the generated terrains. The model uses 6 parameters which allow for a great variety in landscape types produced. Comparisons are made with other existing terrain generation algorithms. Averaging causes erosion of the surface whereas fractal surfaces tend to be very jagged and more suited to alien worlds.

    KEYWORDS

    Terrain, height map, height field, 3D rendering, fractals


    For More Details :
    http://airccse.org/journal/ijcga/papers/5215ijcga01.pdf

    Volume Link :
    http://airccse.org/journal/ijcga/vol5.html







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