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This work is in the field of video surveillance including motion detection. The video surveillance is one of essential techniques for automatic video analysis to extract crucial information or relevant scenes in video surveillance systems. The aim of our work is to propose solutions for the automatic detection of moving objects in real time with a surveillance camera. The detected objects are objects...
This paper propose a based CASIT [5] audio retrieval model. CASIT method is developed for our text information retrieval system witch gives good results. We have extended the CASIT method to the video and audio applications. In this paper we present its application in the audio content-based retrieval. The adapted method is called CASIA (in French: CAlcul de la SImilarité Audio). CASIA identify subsequence...
With the appearance of semi-structured documents, such as XML documents, information retrieval has been challenging due to the introduction of the structural information known by his complex presentation. The system of information research must organize, store information and then provide the documents which correspond to user information needs. These systems are based on models of information retrieval...
The information plays an inevitable role in the handling systems of numerical data existing today. The amount of information handled by various organizations in the world today is high and its management without the computer is no longer imaginable. Information Retrieval (IR) is a research area in computer science whose goal is to facilitate access to a set of documents in electronic form (corpus)...
This paper presents a new method of video sequence segmentation. The principal aim of our approach is the detection of cuts suites in a video sequence (boundaries of transactions). The method is based on two thresholds which allow the localization of transactions suites in a video sequence.
This paper describes CASIT model (CAlculation of SImilarity of Text). Starting from a coarse confrontation of text documents, based on the Latent Semantic Indexing model (LSI), CASIT method calculates in a finer way, the rate of similarity between model documents of text and others which are confronted to them. Our approach takes into account the neighbourhood of the words, which makes it possible...
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