{"product_id":"ieej-is10006","title":"Video Image Hierarchical Classification System in Compressed Domain Using SVM","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e研究会(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003eIS10006\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【C】電子・情報・システム部門 情報システム研究会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2010\/04\/22\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eVideo Image Hierarchical Classification System in Compressed Domain Using SVM\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003eCheng Yu(Tsinghua University),Zhang Tao(Tsinghua University),Guo Xuejing(Tsinghua University)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eCheng Yu(Tsinghua University),Zhang Tao(Tsinghua University),Guo Xuejing(Tsinghua University)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003eVideo image classification becomes more and more ubiquitous and importamt as the volum of captured video is verylarge. Therefore, tools for classification and searching video databased are indispensable. Current clustering techniques thatextract features purely based on the whole image are struggling to achieve good results. This paper presents a novel face-basedimage clustering system with fuzzy classifier based on Support Vector Machine, mainly for compressed MPEG-1, MPEG-2 videoor JPEG image sequence. Our paper introduces two advantages: first, unlike traditional SVM classifier, usually treating binaryclassification problem, our method dynamically build a fuzzy hierarchical structure from the training data and cluster the similarimages into group of multiple class. The second is, the proposed system use features mainly from the human face to reduce thesearching place. In order to evaluate the performance of the proposed method, different image sequences were used. Performanceevaluations have demonstrated effectiveness of our method with high accuracy. The system can be extended to no-compressedvideo image sequence as well for various applications.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e日本語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e583 Kバイト\u003c\/p\u003e","brand":"IEEJ-PDF","offers":[{"title":"PDFダウンロード（一般価格330円\/会員価格220円） \/ A4 \/ 5","offer_id":46362415431919,"sku":"IEEJ-IS10006-PDF","price":330.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_5777ac03-29d0-4844-82a7-fafbfce629c4.png?v=1743627152","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-is10006","provider":"電気学会 電子図書館","version":"1.0","type":"link"}