PPT-Context-aware saliency

Stas Goferman Lihi Zelnik Manor Ayellet Tal What is saliency Please describe this picture Picture description Man in a flower field In the fields Spring blossom Please describe this picture. Presenter: Wei Wang. Institute of Digital Media, . PKU . Outline. Introduction to visual attention. The . computational . models of visual attention. The state-of-the-art models . of visual attention. Moquan Chen & Stian Kilaas. Introduction. Context-aware communication: the way a user is contacted depends on his/her context. This article examines projects and gives them points on a context-aware vs. autonomous actions graph. Felix Lee. HPC I. 28.10.2013. Real-time Live Panoramic Video. OMNICAM. real-time acquisition. warping & stitching. blending and rendering of 6 HD video streams. one panoramic video of . 7k x 2k . using . Dempster-Shafer Theory. Dr. Susan McKeever. Nov 4. th. 2013. . Context Aware systems – . e.g. . Smart home. Sensors in a smart home. Situation tracking – what is the user doing? What activity are they undertaking?. Xiaodi. . Hou. K-Lab, Computation and Neural Systems. California Institute of Technology. for the Crash Course on Visual Saliency Modeling:. Behavioral Findings and Computational Models. CVPR 2013. Schedule. : Advanced . Computer. Graphics. Perception. in 3D . Computer Graphics. Motivation. Çok. rendering . yavaş. . olur. ! (told by?). Take perception into account. Don’t waste resources. Render less. Felix Lee. HPC I. 28.10.2013. Real-time Live Panoramic Video. OMNICAM. real-time acquisition. warping & stitching. blending and rendering of 6 HD video streams. one panoramic video of . 7k x 2k . City University of Hong Kong. Kehuan. Zhang. Xiaoyong. Zhou. Mehool. . Intwala. Apu. . Kapadia. XiaoFeng. Wang. Indiana University Bloomington. NDSS Symposium 2011. 報告人：張逸文. Soundcomber. Systems. Saskia Koldijk. 1,2. , . Gijs . Koot. 2. , . Mark Neerincx. 1,3. , . Wessel . Kraaij. 1,2. www.swell-project.net . . (1). (2. ). (3. ). www.swell-project.net . Recent trends. Big data, . advances . : Advanced . Computer. Graphics. Perception. in 3D . Computer Graphics. Motivation. Çok. rendering . yavaş. . olur. ! (told by?). Take perception into account. Don’t waste resources. Render less. Usable Security – CS 6204 – Fall, 2009 – Dennis Kafura – Virginia Tech. Jacob Bardram. Professor at University of . Copenhagen. His research areas are Ubiquitous Computing, Computer Supported Cooperative Work (CSCW), and Human-Computer Interaction (HCI). Donghun. Yeo. CV Lab.. Contents. Definition of Saliency Detection. Saliency Detection via Dense and Sparse Reconstruction. Saliency Detection via Absorbing Markov Chain. Definition of Saliency Detection. one. ?. Chao Zhang . NAOC . . CSIRO. What is machine learning?. https. ://www.youtube.com/watch?v=ukzFI9rgwfU. Machine learning (ML) is the scientific study of algorithms and statistical models that computer . Recommendation . in . ECommerce. Amey. . Sane. CMSC-601. May 11. th. . 2011. Use of Agents in . E. Commerce. . Product Search/Identification (. eg. “. Eyes” by . amazon. ). Information Brokering.