PPT-Mid-Level Operations for Segmentation

1 Recall Thresholding Example original image pixels above threshold 2 3 original image kidneyjpg Image Segmentation Methods from Dhawan ch 10 Edge Detection Boundary Tracking. Katy Raines. PARTNER, INDIGO-LTD. Segmentation is saying something to somebody. instead of nothing to everybody. Jay Conrad Levinson, Guerilla Marketing. Segmentation – What is it?. Splitting . audiences . Varun. . Gulshan. †. , . Carsten. Rother. ‡. , Antonio . Criminisi. ‡. , Andrew Blake. ‡. and Andrew . Zisserman. †. . 1. Star-convexity. †. Visual . Geometry Group, University of . Oxford, UK . Approach for Topology-Change-Aware Video Matting. Jinlong Ju. 1. , Jue Wang. 3. , . Yebin. Liu. 1. , . Haoqian. Wang. 2. , . Qionghai. Dai. 1. Department of Automation, Tsinghua University, China. 6. Objectives. Explain STP Process. Segmentation Bases. Target Segment Criteria. Elements of Effective Positioning. Creating Brand Value/Equity. STP Marketing & the Evolution of Marketing Strategy. Sungsu. Lim. AALAB, KAIST. Image Segmentation. Computer vision. : make machine to see or to understand/ . interpret . the scenes (images & videos) like human do.. Image segmentation. is one of the most challenging issues in computer vision.. Daphne . Laino. and Danielle Roy. What is Segmentation?. Process of partitioning an image into segments. Segments are called . superpixels. Superpixels. are made up several pixels that have similar properties. By: A’laa . Kryeem. Lecturer: . Hagit. Hel-Or. What is . Segmentation from . Examples. ?. Segment an image based on one (or more) correctly segmented image(s) assumed to be from the same . domain. 1. NADINE GARAISY. GENERAL DEFINITION. 2. A drainage basin or watershed is an extent or an area of land where surface water from rain melting snow or ice converges to a single point at a lower elevation, usually the exit of the basin, where the waters join another . Chiu, S. J., . Izatt. , J. A., O’Connell, R. V., Winter, K. P., . Toth. , C. A., & . Farsiu. , S. (2012). Validated . Automatic . S. egmentation . of AMD . Pathology . I. ncluding . D. rusen . and . - continuous and discrete approaches . 2 : . Exact . and approximate techniques. . - non-submodular and high-order problems. 3: Multi-region segmentation (Milan). - high-dimensional applications . Anurag Arnab. Collaborators: . sadeep. . Jayasumana. , . shuai. . zheng. , Philip . torr. Introduction. Semantic Segmentation. Labelling every pixel in an image. A key part of Scene Understanding. Dr. Ananda Hussein. Ford. ’. s Model T Followed a Mass Market Approach. Four levels of Micromarketing. Segments. Local areas. Individuals. Niches. What is a Market Segment?. A . market segment. consists of a group of customers who share a similar set of needs ad wants. . Dingding. Liu * . Kari . Pulli † . Linda . Shapiro * . Yingen. . Xiong. † . † . Nokia . Research. Center, Palo Alto, CA 94304, USA. *Dept. Elect. Eng., University of Washington, WA 98095, USA. Kirk Smith . Fall . 2017. Session Topics. Who are your competitors…really?. Market Segmentation. How do customers choose between options?. Building a marketing strategy (STP). Some stuff I could buy.