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2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)最新文献

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Theoretical Improvement of the Image Compression Method Based on Wavelet Transform 基于小波变换的图像压缩方法的理论改进
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.60
M. Rahali, H. Loukil, M. Bouhlel
{"title":"Theoretical Improvement of the Image Compression Method Based on Wavelet Transform","authors":"M. Rahali, H. Loukil, M. Bouhlel","doi":"10.1109/CGIV.2016.60","DOIUrl":"https://doi.org/10.1109/CGIV.2016.60","url":null,"abstract":"Image compression was performed by several techniques for example: JPEG and JPEG2000 are lossy compression methods. These methods performing scalar quantization on the values obtained after transformation. The disadvantage of the scalar quantization is it does not allow exploiting the spatial correlation between pixels in the image. To improve the compression, we quantified together of values simultaneously it is definition of the vector quantization. In this paper, we studied and modeled an approach to images compression by wavelet transform and Kohonen network. We show the role of null moments in wavelet for improve the compression and we calculate the compression ratio based on compression parameters.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125843679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Comparative Study and Enhancement of Camera Tampering Detection Algorithms 摄像机篡改检测算法的比较研究与改进
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.51
M. Hagui, M. Mahjoub, Ahmed Boukhris
{"title":"Comparative Study and Enhancement of Camera Tampering Detection Algorithms","authors":"M. Hagui, M. Mahjoub, Ahmed Boukhris","doi":"10.1109/CGIV.2016.51","DOIUrl":"https://doi.org/10.1109/CGIV.2016.51","url":null,"abstract":"Recently the use of video surveillance systems is widely increasing. Different places are equipped by camera surveillances such as hospitals, schools, airports, museums and military places in order to ensure the safety and security of the persons and their property. Therefore it becomes significant to guarantee the proper working of these systems. Intelligent video surveillance systems equipped by sophisticated digital camera can analyze video information's and automatically detect doubtful actions. The camera tampering detection algorithms may indicate that accidental or suspicious activities have occurred and that causes the abnormality works of the video surveillance. It uses several techniques based on image processing and computer vision. In this paper, comparative study of performance of four algorithms that can detect abnormal disturbance for video surveillance is presented also a new proposed method is exposed.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115306701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Semantic Similarity/Relatedness for Cross Language Plagiarism Detection 跨语言剽窃检测的语义相似性/相关性
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-02-01 DOI: 10.11591/IJEECS.V1.I2.PP371-374
H. Ezzikouri, M. Oukessou, M. Erritali
{"title":"Semantic Similarity/Relatedness for Cross Language Plagiarism Detection","authors":"H. Ezzikouri, M. Oukessou, M. Erritali","doi":"10.11591/IJEECS.V1.I2.PP371-374","DOIUrl":"https://doi.org/10.11591/IJEECS.V1.I2.PP371-374","url":null,"abstract":"Generally utterances in natural language are highly ambiguous, and a unique interpretation can usually be determined only by taking into account the context in the utterance occurred. Automatically determining the correct sense of a polysemous word is a complicated problem especially in multilingual corpuses. This paper presents an application programming interface for several Semantic Relatedness/Similarity metrics measuring semantic similarity/distance between multilingual words and concepts, in order to use it after for sentences and paragraphs in Cross Language Plagiarism Detection (CLPD), using WordNet for the English-French and English-Arabic multilingual plagiarism cases.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125997974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
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