Building a large scale visual index of landmarks and deploying a fast recognition index.

• Item type: SIG Technical Reports(1)
• 公開日: 2012-03-08
• タイトル: Building a large scale visual index of landmarks and deploying a fast recognition index.
• タイトル / 言語: en
• タイトル: Building a large scale visual index of landmarks and deploying a fast recognition index.
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 特別講演
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Google Inc.
• 著者所属: Google Inc.
• 著者所属: Google Inc.
• 著者所属: Google Inc.
• 著者所属: Google Inc.
• 著者所属: Google Inc.
• 著者所属: Google Inc.
• 著者所属: Google Inc.
• 著者所属: Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者所属(英): en
• 著者所属(英): Google Inc.
• 著者名: Marco, Andreetto; Hartwig, Adam; Alessandro, Bissacco; Fernando, Brucher; Ulrich, Buddemeier; Lijia, Jin; Yuan, Li; Anand, Pillai; Hartmut, Neven
• 著者名(英): Marco, Andreetto; Hartwig, Adam; Alessandro, Bissacco; Fernando, Brucher; Ulrich, Buddemeier; Lijia, Jin; Yuan, Li; Anand, Pillai; Hartmut, Neven
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: To create a fast and comprehensive landmark recognition system one has to solve many different challenges. First, information about landmarks has to be extracted from many heterogeneous sources. Second, visual models describing those landmarks need to be built and correctly matched. Finally, it is necessary to create a fast and accurate recognition engine for matching a query image against the landmark visual models. In this talk I will describe how it is possible to address the aforementioned challenges. In particular I will describe how landmark information and visual models can be constructed by mining photo sharing websites and other web resources. Also I will discuss how to efficiently search during query time such a large collection of visual information so that a real time visual recognition service can be deployed.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: To create a fast and comprehensive landmark recognition system one has to solve many different challenges. First, information about landmarks has to be extracted from many heterogeneous sources. Second, visual models describing those landmarks need to be built and correctly matched. Finally, it is necessary to create a fast and accurate recognition engine for matching a query image against the landmark visual models. In this talk I will describe how it is possible to address the aforementioned challenges. In particular I will describe how landmark information and visual models can be constructed by mining photo sharing websites and other web resources. Also I will discuss how to efficiently search during query time such a large collection of visual information so that a real time visual recognition service can be deployed.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11131797
• 書誌情報: 研究報告コンピュータビジョンとイメージメディア（CVIM）; 巻 2012-CVIM-181, 号 13, p. 1-3, 発行日 2012-03-08
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会