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Most of the web sites now a day incorporate streaming media. Specifically Distance Learning Applications and Internet Radio stations require Interactive Streaming Multimedia. Internet and related developments will be an excellent distribution medium for interactive multimedia applications of all sorts. Streaming Technology allows the client to acce...
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Applying cloud technology to 3D interactive multimedia applications is a promising way to provide flexible and cost efficient online high bandwidth immersive services to a large population of end users. One main reason cloud systems are popular among users is the fact that it relaxes the hardware requirements for high-end interactive visual applica...
Nous nous sommes intéressés dans ce travail au développement d'un cédérom multimédia interactif à usage pédagogique et son utilisation dans un dispositif de formation à distance. Nous avons procédé à l'implantation d'un système d'enseignement à distance au sein d'une université nouvellement autonome et intéressée par l'ouverture de la formation à d...
Citations
... Multimedia streaming requires a large bandwidth, especially if the content being transmitted is of very high quality. One page of text can require 500 to 1000 bytes [3] while a single full screen image may require 3,00,000 to 10,00,000 bytes [4]. These figures indicate that text can be transferred very effectively compared to the images. ...
Over the past few years, there has been an astounding growth in the number of news channels as well as the amount of broadcast news video data. As a result, it is imperative that automated methods need to be developed in order to effectively summarize and store this voluminous data. Format detection of news videos plays an important role in news video analysis. Our problem involves building a robust and versatile news format detector, which identifies the different band elements in a news frame. Probabilistic progressive Hough transform has been used for the detection of band edges. The detected bands are classified as natural images, computer generated graphics (non-text) and text bands. A contrast based text detector has been used to identify the text regions from news frames. Two classifers have been trained and evaluated for the labeling of the detected bands as natural or artificial - Support Vector Machine (SVM) Classifer with RBF kernel, and Extreme Learning Machine (ELM) classifier. The classifiers have been trained on a dataset of 6000 images (3000 images of each class). The ELM classifier reports a balanced accuracy of 77.38%, while the SVM classifier outperforms it with a balanced accuracy of 96.5% using 10-fold cross-validation. The detected bands which have been fragmented due to the presence of gradients in the image have been merged using a three-tier hierarchical reasoning model. The bands were detected with a Jaccard Index of 0.8138, when compared to manually marked ground truth data. We have also presented an extensive literature review of previous work done towards news videos format detection, element band classification, and associative reasoning.
