This study aims to analyze the effectiveness of watching cartoon videos on pain levels in school children during invasive procedures. The method used is a systematic review by searching for articles Scopus, ProQuest, EBSCOhost, ScienceDirect, Embase, ClinicalKey, Wiley Online and Google Scholar databases. results showed that there were several themes obtained from literature study, including: 1...

We examined if external cues such as other agents' actions can influence the choice of language during voluntary and cued object naming in bilinguals in three experiments. Hindi-English bilinguals first saw a cartoon waving at a color patch. They were then asked to either name a picture in the language of their choice (voluntary block) or to name in the instructed language (cued block). The col...

Using a sample of 43 7-8-year-olds and their parents, we examined the extent to which children’s judgments about food products are influenced by the same factors as their parents. The factors manipulated were brand name familiarity, healthiness of product, and use of licensed cartoon characters (children) or celebrity endorsers (parents). Brand name familiarity was a more important factor than ...

We present a new approach for classifying mpeg-2 video sequences as ‘cartoon’ or ‘non-cartoon’ by analyzing specific video and audio features of consecutive frames in real-time. This is part of the well-known video-genreclassification problem, where popular TV-broadcast genres like cartoon, commercial, music, news and sports are studied. Such applications have also been discussed in the context...

We propose a new model for image decomposition which separates an image into a cartoon, consisting only of geometric objects, and an oscillatory component, consisting of textures and noise. The model is given in a variational formulation with adaptive regularization norms for both the cartoon and texture part. The energy for the cartoon interpolates between total variation regularization and is...

We present a new approach for classifying mpeg-2 video sequences as ‘cartoon’ or ‘non-cartoon’ by analyzing specific color, texture and motion features of consecutive frames in real-time. This is part of the well-known videogenre-classification problem, where popular TVbroadcast genres like cartoon, commercial, music, news and sports are studied. Such applications have also been discussed in th...

This paper presents a new compatible remeshing approach, by morphing with Radial Basis Function based on approximate geodesic distance (G-RBF) followed by a mesh optimization to generate compatible meshes efficiently while approximating the input target geometry accurately. To test the proposed approach, a prototype is implemented to clone expressions onto the personalized 3D face model. A PCA ...

Information delivery is undergoing profound changes. The established media such as radio, television, and newspapers are faced with a variety of new digital content formats. New dimensions of publishing can be exploited in the case of newspaper production. This paper investigates the changes in the production models of newspaper organizations caused by the introduction of information technology...

In this paper, we propose a new automatically generation system of caricature which emphasizes the unique characteristics of the input images. This system can create the cartoon character similar to user’s features by using set rules adopted a particular artist's technique. Input image is transformed by using MLS(Moving Least Squares) approximation[1] based on a predefined cartoon character’s i...