PPT-Accounting for the relative importance of objects in image retrieval

Sung Ju Hwang and Kristen Grauman University of Texas at Austin Image retrieval Query image Image Database Image 1 Image 2 Image k Contentbased retrieval from an image database Relative importance of objects. David Kauchak. cs458. Fall . 2012. Empirical Evaluation of Dissimilarity Measures for Color and Texture. Jan . Puzicha. , Joachim M. . Buhmann. , . Yossi. . Rubner. & Carlo . Tomasi. Image processing. Document Image Retrieval. David Kauchak. cs160. Fall 2009. adapted from. :. David . Doermann. http://terpconnect.umd.edu/~oard/teaching/796/spring04/slides/11/796s0411.ppt. Assign 4 . writeups. Overall, I was very happy. Authors. : Desmond Elliot & Arjen P. de . Vries. Presentation of Paper by . : Jantre Sanket R. (12309), . Senior Undergraduate Student, . CSE, IIT Kanpur. Abstract. Visual Dependency Representation(VDR): . Authors. : Desmond Elliot & Arjen P. de . Vries. Presentation of Paper by . : Jantre Sanket R. (12309), . Senior Undergraduate Student, . CSE, IIT Kanpur. Abstract. Visual Dependency Representation(VDR): . liminality. and information. practice. Dr Pauline Rafferty and Dr Allen Foster. Aberystwyth University . Phatic. communication on social media. Varis. and . Blommaert. . (. 2014). Liking and sharing. P. ronouns . Madison. Chase. Valerie. Interrogative Pronouns . A pronoun used in order to ask a . question. . Examples. --. Who,. . what, which, who, whom, and whose . Rules for interrogative . pronouns . Date :. . 2012 . / . 04. . / . 12. 資訊碩一 . 10077034. 蔡勇儀 . @. . LAB603 . Outline. Introduction. Preliminaries. Method. Experimental result. Conclusions. Introduction. Image retrieval have more challenge than text retrieval.. INST 734. Doug . Oard. Module 13. Agenda. Image retrieval. Video retrieval. Multimedia retrieval. Multimedia. A set of time-synchronized modalities. Video. Images, object motion, camera motion, scenes. : Technology in the Creative Construction of Electronic . Business Reporting. Authors: Alan Lowe & Joanne Locke. Interdisciplinary Perspectives on Accounting Conference, 2012. Discussion by Niels Dechow. Andrew Chi. Brian Cristante. COMP 790-133: January 27, 2015. Image Retrieval. AI / Vision Problem. Systems Design / Software Engineering Problem. Sensory Gap. : “What features should we use?”. Query-Dependent?. 1- Perception. 2- Memory. What is perception?. A . process by which the brain analyses and makes sense out of incoming . sensory. information. . What are the three areas of perception?. S. egregation . Authors. : Desmond Elliot & Arjen P. de . Vries. Presentation of Paper by . : Jantre Sanket R. (12309), . Senior Undergraduate Student, . CSE, IIT Kanpur. Abstract. Visual Dependency Representation(VDR): . relative importance of objects in image retrieval. Sung . Ju. Hwang and Kristen . Grauman. University of Texas at Austin. Image retrieval. Query image. Image Database. Image 1. Image 2. Image k. Content-based retrieval from an image database. December 21, 2018. Footer. Footer. Relative Importance of Issues . (Scale of 1 to 5) N=40. (Almost) All Scored Highly. Relative Importance of Issues . (Scale of 1 to 5) N=40. Comparability Scored Highest.