'Low level features' presentation slideshows

Scene Classification: Computational and Cognitive Approaches

Scene Classification: Computational and Cognitive Approaches. Hamed Kiani. Introduction. OUTLINE. Background. Scene Classification. Conclusion. Introduction. Scene

776 views • 53 slides

Communications, Collaboration, and Community

Communications, Collaboration, and Community. Anoop Gupta Microsoft Research Collaborators: Michael Cohen, Ross Cutler, Zicheng Liu, Yong Rui, Kentaro Toyama, Zhengyou Zhang, and others. Deployment-Driven Multidisciplinary Research: Challenges and Opportunities. Anoop Gupta

530 views • 45 slides

Human Action Recognition

Human Action Recognition. Avner Atias December 2011. Problem Description and Applications. Recognition and classification of human action in image sequences (Video). Using the temporality of video images to associate sets of images to an action Applications: Real-time surveillance.

1.15k views • 44 slides

(In)Attention and Attention IAT355

(In)Attention and Attention IAT355. Jul 18, 2014 Slides by Lyn Bartram. This is a useful topic. Understand why you can get students to shut their devices in class ? Complaints about inattentive and distracting behaviour Talking Texting Surfing and gaming on laptops

680 views • 42 slides

Image Retrieval: Current Techniques, Promising Directions, and Open Issues

746 views • 41 slides

Spoken Dialogue System Architecture

Spoken Dialogue System Architecture. Joshua Gordon CS4706. Outline. Goals of an SDS architecture Research challenges Practical considerations An end-to-end tour of a real world SDS. SDS Architectures.

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Modeling visual clutter using proto-objects

Presenter: Chen-Ping Yu, PhD Candidate Research Advisors: Dr. Dimitris Samaras (computer science) Dr. Greg Zelinsky (psychology) Department of Computer Science Stony Brook University February 5, 2014. Tech Talk @ shutterstock.

533 views • 36 slides

Automatic photo quality assessment

Taming subjective problems with hand-coded metrics. Automatic photo quality assessment. How do you measure a subjective quality quantitatively and objectively?. Find a consensus - Only look at things that everyone agrees on Get people to vote, and average the results

463 views • 34 slides

Object Recognition

Object Recognition. Jeremy Wyatt. Plan. David Marr: the model based approach to vision Model based approaches: Geons, Model Fitting Appearance based approaches: PCA, SIFT, implicit shape model Psychological Evidence: View dependent vs. view independent recognition Summary: who is right?.

609 views • 32 slides

Non-Photorealistic Rendering and Content-Based Image Retrieval

Non-Photorealistic Rendering and Content-Based Image Retrieval. Pacific Graphics (2003). Yuan-Hao Lai. [Problems of CBIR] Which low-level features is the best to measure the similarity of images Color is important in human perception but histogram cannot provide spatial distribution of colors.

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Agnostic Learning vs. Prior Knowledge challenge Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley, Olivier Guyon

MILESTONE RESULTS Mar. 1 st , 2007. Agnostic Learning vs. Prior Knowledge challenge Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley, Olivier Guyon, and many other volunteers, see http://www.agnostic.inf.ethz.ch/credits.php. Thanks.

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Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues

Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues. David R. Martin Charless C. Fowlkes Jitendra Malik. Paper Contribution. Proposed Boundary Classifier Uses local image features Detect & Localize Boundaries

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Lecture 10: Perception and Cognition

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Haxby J. V., Gobbini , M. I., Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P. (2001).

Haxby J. V., Gobbini , M. I., Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science , 293, 2425-2430. Chiou Yao Ching ( ???? 17 October 2005. Preface.

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Quality Requirements in Mobile Games

638 views • 19 slides

Video Event Recognition: Multilevel Pyramid Matching

Video Event Recognition: Multilevel Pyramid Matching. Dong Xu and Shih-Fu Chang Digital Video and Multimedia Lab Department of Electrical Engineering Columbia University http://www.ntu.edu.sg/home/dongxu dongxu@ntu.edu.sg *Courtesy to Eric Zavesky for preparing for the slides.

289 views • 16 slides