PPT-Text Recognition and Retrieval in Natural Scene Images

Udit Roy CVIT IIIT Hyderabad Advisor C V Jawahar Coadvisor Karteek Alahari Inria Overview Introduction Text Detection Cropped Word Recognition amp Retrieval EndtoEnd Frameworks. 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. Pattern Completion and Recapitulation. Episodic Retrieval and the Frontal Lobes. Cues for Retrieval. The Second Time Around: Recognizing Stimuli by Recollection and Familiarity. Misremembering the Past. INST 734. Module 3. Doug . Oard. Agenda. Ranked retrieval. Similarity-based ranking. Probability-based ranking. Boolean Retrieval. Strong points. Accurate, . if you know the right strategies. Efficient for the computer. 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. Information. Miles Efron, Jana . Diesner. , Peter . Organisciak. , Garrick Sherman, Ana . Lucic. {. mefron. , et al.}@. illinois.edu. GSLIS 2012. TREC: The Text REtrieval Conference. NIST. Web. Legal. Firefighter I. Copyright . and Terms of Service. Copyright © Texas Education Agency, 2011. . These m. aterials. are copyrighted © and trademarked ™ as the property of the Texas Education Agency (TEA) and may not be reproduced without the express written permission of TEA, except under the following conditions:. Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example. HEADLINE. Body. text,. body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text. Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . the person must identify an item amongst other choices. (A multiple-choice test requires recognition.). Name the capital of France.. Brussels. Rome. London. Paris. Measures of Memory. In . recall. ,. Classification, Annotation and Segmentation in an . Automatic . Framework. Li-. Jia. Li, Richard . Socher. , Li . Fei-Fei. 1. 2. City Travel. Pagoda. Sunrise. Sunshine. Sun. 3. City Travel. Pagoda. Sunrise. The negative impact that crime scenes have on people’s minds is obvious. In many cases, the only contact people have with the crime scene is what is shown on television.For some of these shows, there’s a myth about crime scene cleaners that’s just plain wrong. Let’s expose it.Professional crime and Trauma Scene Cleanup companies also have specialised cleaning equipment. This allows for a deeper, more thorough cleaning. We have the best team of talented and experienced people to help you cleanse the trauma scene with ease. Linda Shapiro. ECE P 596. 1. What’s Coming. Review of . Bakic. flesh . d. etector. Fleck and Forsyth flesh . d. etector. Review of Rowley face . d. etector. Overview of. . Viola Jones face detector with . Retrieval Practice: Lesson 3. 1. What is an . autobiography. ?.  .  2. Does Roald Dahl consider . Boy . to be an . autobiography. ? Why or why not?.  .  3. What is an . anecdote. ?.  . 4. Describe one .