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      • Expert’s Technical Review on 2D Games with Religious Elements

        Norkhairani Abdul Rawi,Maizan Mat Amin,Azilawati Rozaimee,Wan Malini Wan Isa 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.1

        Previously, we present the motivation for developing 2D game named My Journey to the Mosque (MJTM) that enables to teach children to recite zikir indirectly. There is a need for usability evaluation of the prototype before it can be tested against actual user. Therefore, in order to verify the prototype that has been developed, a usability study was conducted among technical experts. The experts were one from Islamic entertainment industry and two academicians from Multimedia School. A questionnaire has been developed to collect feedback from the expert reviewer. Among the aspects observed by the experts were contents, navigation or interactivity, presentation of the prototype and the use of animations. These are important aspects to be considered according to various previous studies. Results shown that most of the aspects observed by the reviewers were above the average score of 4.00 according to the Likert scale. Findings of this study will be used as a guideline for further enhancements of the prototype.

      • Average Analysis Method in Selecting Haralick’s Texture Features on Color Co-occurrence Matrix for Texture Based Image Retrieval

        Abd Rasid Mamat,Mohd Khalid Awang,Norkhairani Abdul Rawi,Mohd. Isa Awang,Mohd Fadzil Abdul Kadir 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.2

        Many textures based image retrieval researchers use global texture features for representing and retrieval of images from an image database. However, this leads to misrepresentation of local information leading to the inefficient image retrieval performance. This paper presents an approach to overcome the problem. The approach focuses on extracting local Haralick’s texture feature based on a predetermined region using the color co-occurrence matrix method, the selection of the ‘significant’ Haralik’s texture features and evaluation of the performance of the combination of the ‘significant’ features. The proposed method which is an Average Analysis and a well known method, Principal Component Analysis were applied to obtain ‘significant’ features. In order to compare the performance, a series of experiments were carried out for both methods, which is the proposed Average Analysis and the Principal Component Analysis. Experiments were performed on a 1000 selected images from the Coral image database which were divided into ten categories. Based on the experimental results, it is interesting to note that for the combination ‘significant’ features obtained from the proposed Average Analysis showed better retrieval performance compared to the Principal Component Analysis for almost all categories. This finding has an important implication in deciding the correct combination of ‘significant’ features for certain image properties. It has shown that the proposed method is able to produce less computational processing time due to a reduced amount of processing involved. The result is also compared to the previous researches and has shown an increase of an average precision from 8.5% to 26%.

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