Search in Video TF-media, Dubrovnik February 16-17, 2012 Gurvinder - PowerPoint PPT Presentation

Jun 22, 2023 •290 likes •333 views

Search in Video TF-media, Dubrovnik February 16-17, 2012 Gurvinder Singh & Otto J. Wittner 2012-02-16 Objectives Advanced/futuristic search portal for lecture recordings from HEI in Norway. In Europa too? General search

Search in Video TF-media, Dubrovnik February 16-17, 2012 Gurvinder Singh & Otto J. Wittner 2012-02-16
Objectives  Advanced/futuristic search portal for lecture recordings from HEI in Norway.  In Europa too?  General search portal for educational material in Norway applying educational-social information.
So far....  Simple demo portal  Solr  HTTP Live Streaming (chunk based)  Subtitle base indexing  Demo
What's next  UNINETT to provide central lecture recording service in 2012.  More meta-data: speech-to-text, OCR, concept detection  Segmentation: Starting/ending point of video clips?  Simple HTTP streaming with time duration  HTML5 player: Zoomable (ROI) audio and video  Utilize user feedback on search, streaming and content quality

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

1 Basic Image/Video Features Image Features Color (a). SCD (scalable color descriptor) (b).

Problems in Video Indexing and Analysis EE 6882 Statistical Methods for Video Indexing, search, and retrieval for images and videos Image/Video search engine Indexing and Analysis find video clips of basketball going through the

600 views • 20 slides

GPU-ACCELERATED VIDEO FRAME SEARCH ON VIDEO STREAMS HALL ENVER SOYLU SOFTWARE DEVELOPMENT

GPU-ACCELERATED VIDEO FRAME SEARCH ON VIDEO STREAMS HALL ENVER SOYLU SOFTWARE DEVELOPMENT ENGINEER ERLAB SOFTWARE OVERVIEW WHO WE ARE? BACKGROUND MOTIVATIONS VIDEO FRAME SEARCH NEXT STEP WHO WE ARE? ABOUT ERLAB ERLAB FAMILY DELOITTE

436 views • 21 slides

Homework Watch the SearchEngineLand video: What is SEO

Homework Watch the SearchEngineLand video: What is SEO (http://searchengineland.com/guide/what-is-seo) Watch Matt Cutts video: How Search Engines Work (https://www.youtube.com/watch?v=BNHR6IQJGZs) Search Engine Optimization (SEO)

728 views • 24 slides

for Zero-Example Video Search Dennis Koelma and Cees Snoek University of Amsterdam The

Query Understanding is Key for Zero-Example Video Search Dennis Koelma and Cees Snoek University of Amsterdam The Netherlands Pipeline Selected query terms Video Frames 2 / sec window average Closest terms Video Story cosine

400 views • 22 slides

Learn to Represent Queries and Videos for Ad-hoc Video Search Xirong Li , Chaoxi Xu , Jianfeng

Learn to Represent Queries and Videos for Ad-hoc Video Search Xirong Li , Chaoxi Xu , Jianfeng Dong Renmin University of China Zhejiang Gangshang University TRECVID 2019 Workshop 2019-11-12 Key question in ad-hoc video search How to estimate

745 views • 23 slides

Event Model for Auto Video Search TRECVID 2005 Search by NUS PRIS Tat-Seng Chua, Shi-Yong Neo,

Event Model for Auto Video Search TRECVID 2005 Search by NUS PRIS Tat-Seng Chua, Shi-Yong Neo, Hai-Kiat Goh, Ming Zhao, Yang Xiao & Gang Wang (National University of Singapore) Sheng Gao, Kai Chen, Qibin Sun & Qi Tian (Institute for

411 views • 27 slides

TRECVID 2016 AD-HOC VIDEO SEARCH TASK : OVERVIEW Georges Qunot Laboratoire d'Informatique de

TRECVID 2016 AD-HOC VIDEO SEARCH TASK : OVERVIEW Georges Qunot Laboratoire d'Informatique de Grenoble George Awad Dakota Consulting, Inc National Institute of Standards and Technology 2 3/9/17 TRECVID 2016 Ad-hoc Video Search Task

355 views • 23 slides

TRECVID 2018 Ad-hoc Video Search Task : Overview Georges Qunot Laboratoire d'Informatique de

TRECVID 2018 Ad-hoc Video Search Task : Overview Georges Qunot Laboratoire d'Informatique de Grenoble George Awad Dakota Consulting, Inc; National Institute of Standards and Technology Outline Task Definition Video Data Topics

588 views • 40 slides

Technologies behind Internet Search Engine Ming-Jer Lee CTO VisionNEXT Inc. Type of Search

Technologies behind Internet Search Engine Ming-Jer Lee CTO VisionNEXT Inc. Type of Search Engine Media Text Image Audio Video Scope General search engine Domain specific topic Language Scale

674 views • 38 slides

Florida International University University of Miami: TRECVID 2018 Ad-hoc Video Search (AVS)

Florida International University University of Miami: TRECVID 2018 Ad-hoc Video Search (AVS) Task Samira Pouyanfar 1 , Yudong Tao 2 , Haiman Tian 1 , Maria Presa Reyes 1 , Yuexuan Tu 2 , Yilin Yan 2 , Tianyi Wang 1 , Hector Cen 1 , Yingxin Li

378 views • 19 slides

Florida International University University of Miami: TRECVID 2019 Ad-hoc Video Search (AVS)

Florida International University University of Miami: TRECVID 2019 Ad-hoc Video Search (AVS) Task Yudong Tao 1 , Tianyi Wang 2 , Diana Machado 2 , Raul Garcia 2 , Yuexuan Tu 1 , Maria Presa Reyes 2 , Yeda Chen 1 , Haiman Tian 2 , Mei-Ling Shyu

326 views • 21 slides

Careers inAcquisition Start Your Search For -From FAI- Contracting Careers Start Your Search

Careers inAcquisition Start Your Search For -From FAI- Contracting Careers Start Your Search for Frequently Asked Contracting Questions (FAQ) Internships Hear From Real Veterans StartYour Contracting Officers Search for Careers Video

342 views • 7 slides

EE 6882 Visual Search Engine Feb. 27 th , 2012 Lecture #6 Object Search Using Local Features

2/27/2012 EE 6882 Visual Search Engine Feb. 27 th , 2012 Lecture #6 Object Search Using Local Features Applications of Mobile Visual Search Mid Term Project Reading List Sivic, J. and A. Zisserman, Video Google: A text retrieval

552 views • 42 slides

AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification Xiaofang Wang, Xuehan

AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua Convolutional networks are dominant C3D [ICCV

746 views • 26 slides

TRECVID 2017 AD-HOC VIDEO SEARCH TASK : OVERVIEW Georges Qunot Laboratoire d'Informatique de

TRECVID 2017 AD-HOC VIDEO SEARCH TASK : OVERVIEW Georges Qunot Laboratoire d'Informatique de Grenoble George Awad Dakota Consulting, Inc National Institute of Standards and Technology Disclaimer The identification of any commercial product

448 views • 27 slides

TRECVID 2019 Ad-hoc Video Search Task : Overview Georges Qunot Laboratoire d'Informatique de

TRECVID 2019 Ad-hoc Video Search Task : Overview Georges Qunot Laboratoire d'Informatique de Grenoble George Awad Georgetown University; National Institute of Standards and Technology Disclaimer The identification of any commercial product

697 views • 38 slides

The Autonomous Cars Ethics A study on the Decision-Making Mechanism (DMM) of Autonomous

The Autonomous Cars Ethics A study on the Decision-Making Mechanism (DMM) of Autonomous Vehicles (AV) Irene YH Fan Pros and Cons of Autonomous Vehicles Pros Cons Improves traffic safety Employment opportunity Increase efficiency Privacy

146 views • 11 slides

Why We Believe Why We Believe in n i the Pre he Pre- -Trib Trib t Rapture Rapture

Why We Believe Why We Believe in n i the Pre he Pre- -Trib Trib t Rapture Rapture Revelation 3:10, I also will keep you from the hour of trial which shall come upon the whole world, to test those who dwell on the earth. will

539 views • 39 slides

Dark Matter 2017-2037 Very Biased Futurism Gordan Krnjaic DM Working Group, April 20, 2017 1

Dark Matter 2017-2037 Very Biased Futurism Gordan Krnjaic DM Working Group, April 20, 2017 1 Bad news: DM-SM interactions are not obligatory Challenge Accepted (w/ caveats) If nature is unkind, we may never know the right scale must be

437 views • 32 slides

A Novel Tensor Distribution Model for the Diffusion Weighted MR Signal Baba C. Vemuri UFRF

Introduction Background Theory Results Conclusions A Novel Tensor Distribution Model for the Diffusion Weighted MR Signal Baba C. Vemuri UFRF Professor & Director Center for Vision, Graphics, and Medical Imaging Department of Computer

1.35k views • 101 slides

Many thanks to the organizers Asia: Austrian Radiologists presents their US/Mammo trial

6/7/2017 Managing Women with Dense Breast in Europe, Many thanks to the organizers Asia: Austrian Radiologists presents their US/Mammo trial Research Fellow, University California San Francisco (UCSF); Molecular TH. Helbich Imaging

354 views • 13 slides

Location Problems using Branch-and and-Benders-Cuts Ivana Ljubic ESSEC Business School, Paris

Solving Very ry Large Scale Covering Location Problems using Branch-and and-Benders-Cuts Ivana Ljubic ESSEC Business School, Paris Based on a joint work with J.F. Cordeau and F. Furini IWOLOCA 2019 , Cadiz, Spain, February 1, 2019 Covering

854 views • 43 slides

Propagation of Interval and What We Do in This . . . Probabilistic Uncertainty in Chapter 2:

Need for Data . . . Need to Take . . . Measurement . . . Propagation of . . . Propagation of Interval and What We Do in This . . . Probabilistic Uncertainty in Chapter 2: Towards . . . Chapter 3: Towards . . . Cyberinfrastructure-Related

1.09k views • 65 slides

Lessons from the Coalbed Methane Boom in Wyoming Kathryn Bills Walsh, Montana State University

Lessons from the Coalbed Methane Boom in Wyoming Kathryn Bills Walsh, Montana State University Dr. Julia H. Haggerty, Montana State University ASMR April 10, 2017 Mitigating destructive legacies: Reclamation of natural gas production sites

239 views • 22 slides