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© Arjen P. de Vries 2001 1 Arjen P. de Vries firstname.lastname@example.org Fascinating Relationships between Media and Text
© Arjen P. de Vries 2001 2 From Video to a List of Images… …
© Arjen P. de Vries 2001 3 Query image
© Arjen P. de Vries 2001 4 Feature Space Indexing N-dimensional space Feature extraction Ranking Display
© Arjen P. de Vries 2001 5 Complicating Factors What are Good Feature Models? What are Good Ranking Functions? Subjective Queries
© Arjen P. de Vries 2001 6 Mirror Approach (1/2) Gather User’s Knowledge –Introduce semi-automatic processes for selection and combination of feature models Local Information –Relevance feedback from a user Global Information –Thesauri constructed from all users
© Arjen P. de Vries 2001 7 Mirror Approach (2/2) N-dimensional space Feature extraction ClusteringRanking Concepts Display Thesauri
© Arjen P. de Vries 2001 8 Visual Thesaurus Correct cluster representing ‘Tree’, ‘Forest’ Glcm_47 ‘Incoherent’ cluster Fractal_23 Mis-labeled cluster Gabor_20
© Arjen P. de Vries 2001 9 Mirror Results Thesaurus Only After Feedback
© Arjen P. de Vries 2001 10 ‘Explaining’ the Results Paivio’s dual coding theory conjectures that the human brain processes textual terms (logogens) as well as image terms (imagens) Term frequency and inverse document frequency intuitively express the amount of surprise of observing the event represented by the term Also matches similar music: grunge, house, … Even works for predicting avalanches!
© Arjen P. de Vries 2001 11 Query Articulation Problem N-dimensional space Feature extraction How to articulate the query?
© Arjen P. de Vries 2001 12 What is the query semantics ?
© Arjen P. de Vries 2001 13 More than Sub-Image Search Irrelevant Background Relevant Colors Distinguishing Shapes …
© Arjen P. de Vries 2001 14 Irrelevant Background QueryResult
© Arjen P. de Vries 2001 15 Known Item
© Arjen P. de Vries 2001 16 Query
© Arjen P. de Vries 2001 17 Results …
© Arjen P. de Vries 2001 18 Query
© Arjen P. de Vries 2001 19 Results …
© Arjen P. de Vries 2001 20 Problem Video TREC query images are quite different from the (low-quality) video data in the collection The current translation model from collection objects to query objects is incorrect Figure out better ways, possibly using: –Color thesaurus, transitions between colors –Explicit background and foreground models –…
© Arjen P. de Vries 2001 21 Summarizing Don’t give up… But… Stay Realistic!
WEEK 1 You have 10 seconds to name…
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25 seconds left….. 24 seconds left….. 23 seconds left…..
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SUBTRACTING INTEGERS 1. CHANGE THE SUBTRACTION SIGN TO ADDITION 2. TAKE THE INVERSE OF THE SECOND NUMBER 3. FOLLOW THE RULES FOR ADDITION 4. ADD THE OPPOSITE.
We will resume in: 25 Minutes We will resume in: 24 Minutes.
By D. Fisher Geometric Transformations. Reflection, Rotation, or Translation 1.
DIVIDING INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.
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1 Copyright © 2010, Elsevier Inc. All rights Reserved Fig 2.1 Chapter 2.
MULT. INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.
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1 Chapter 1 The Study of Body Function Image PowerPoint Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Chapter 5 Test Review Sections 5-1 through 5-4. Simplify each expression. 1)2) 3)4) 5) 6)
Past Tense Probe Past Tense Probe – Practice 1 Past Tense Probe – Practice 2.
TWO STEP EQUATIONS 1. SOLVE FOR X 2. DO THE ADDITION STEP FIRST
Lets play bingo!!. Calculate: MEAN Calculate: MEDIAN
ALGEBRAIC EXPRESSIONS Step 1 Write down the question Step 2 Plug in the numbers Step 3 Use PEMDAS Work down, Show all steps.
Test B, 100 Subtraction Facts
©Brooks/Cole, 2001 Chapter 12 Derived Types-- Enumerated, Structure and Union.
CMU SCS : Multimedia Databases and Data Mining Lecture #17: Text - part IV (LSI) C. Faloutsos.
1 Evaluations in information retrieval. 2 Evaluations in information retrieval: summary The following gives an overview of approaches that are applied.
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Chapter 1 Image Slides.
Squares and Square Root WALK. Solve each problem REVIEW:
Chapter 13 How Cells Obtain Energy from Food Essential Cell Biology Third Edition Copyright © Garland Science 2010.
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GG Consulting, LLC I-SUITE. Source: TEA SHARS Frequently asked questions 2.
© S Haughton more than 3?
Twenty Questions Subject: Twenty Questions
Copyright © 2011, Elsevier Inc. All rights reserved. Chapter 5 Author: Julia Richards and R. Scott Hawley.
ADDING INTEGERS 1. POS. + POS. = POS. 2. NEG. + NEG. = NEG. 3. POS. + NEG. OR NEG. + POS. SUBTRACT TAKE SIGN OF BIGGER ABSOLUTE VALUE.
Chapter 6 Cost and Choice. Copyright © 2001 Addison Wesley LongmanSlide 6- 2 Figure 6.1 A Simplified Jam-Making Technology.
BT Wholesale October Creating your own telephone network WHOLESALE CALLS LINE ASSOCIATED.
© Charles van Marrewijk, An Introduction to Geographical Economics Brakman, Garretsen, and Van Marrewijk.
1 First EMRAS II Technical Meeting IAEA Headquarters, Vienna, 19–23 January 2009.
1 Chapter 40 - Physiology and Pathophysiology of Diuretic Action Copyright © 2013 Elsevier Inc. All rights reserved.
MULTIPLYING MONOMIALS TIMES POLYNOMIALS (DISTRIBUTIVE PROPERTY)
You have been given a mission and a code. Use the code to complete the mission and you will save the world from obliteration…
Determine Eligibility Chapter 4. Determine Eligibility 4-2 Objectives Search for Customer on database Enter application signed date and eligibility determination.
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A SMALL TRUTH TO MAKE LIFE 100%. If A B C D E F G H I J K L M N O P Q R S T U V W X Y Z is equal to
Multilinguality & Semantic Search Eelco Mossel (University of Hamburg) Review Meeting, January 2008, Zürich.
1 Undirected Breadth First Search F A BCG DE H 2 F A BCG DE H Queue: A get Undiscovered Fringe Finished Active 0 distance from A visit(A)
1 LEUCEMIA MIELOIDE AGUDA TIPO 0. 2 LEUCEMIA MIELOIDE AGUDA TIPO 1.
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