CVPR 2009 Video Review

The CVPR 2009 Video Review is an opportunity to show off the newest
techniques and results from our community. Many algorithms are best
explained visually as animations. Some challenging problems and results
can only really be appreciated as videos. Systems are getting better and
faster, and deserve to be seen by a broader audience. If your results are
visually interesting, then this is your chance to be recognized, and to be
seen both during the conference, and afterward, when attendees get back to
their classrooms, companies, and labs. The compilation will play
prominently in a loop on display at the main conference, and will be
included in the CVPR 2009 Proceedings DVD-ROM.

New! Accepted videos announced here!

Markerless Motion Capture with
Unsynchronized Moving Cameras
Hasler*, MPI Informatik

Bodo Rosenhahn, Hannover University

Thorsten Thormaehlen, MPI Informatik

Michael Wand, Saarland University

Juergen Gall, BIWI, ETH Zurich

Hans-Peter Seidel, MPI Informatik
Predicting High Resolution Image
Edges with a Generic, Adaptive, 3-D Vehicle Model
Leotta*, Brown University
Motion Capture Using Joint
Skeleton Tracking and Surface Estimation
Gall*, BIWI, ETH Zurich

Carsten Stoll,

Edilson De Aguiar,

Christian Theobalt,

Bodo Rosenhahn, Hannover University

Hans-Peter Seidel, MPI Informatik
Rank Priors for Continuous
Non-Linear Dimensionality Reduction
Geiger*, KIT

Raquel Urtasun, EECS Berkeley

Trevor Darrell, EECS Berkeley
Similarity Metrics and Efficient
Optimization for Simultaneous Registration
Wachinger*, TU München

Nassir Navab, TU München
LidarBoost: Depth Superresolution
for ToF 3D Shape Scanning
Schuon*, Stanford University

Christian Theobalt, Stanford University

James Davis, UC Santa Cruz

Sebastian Thrun, Stanford University
Detecting Carried Objects from
Video Sequences
Damen*, University of Leeds

David Hogg, University of Leeds
Active Tracking of Two Free-Moving
Targets with a Stereo Head
Perdigoto*, University of Coimbra

Joao Barreto, ISR

Rui Caseiro, ISR

Helder Araujo, ISR
Observe Locally, Infer Globally: a
Space-Time MRF for Detecting Abnormal Activities with Incremental
Kim*, UT-Austin

Kristen Grauman, UT-Austin
Robust Scene Flow using Binocular
Stereo Sequences in Near-Real-Time
Vaudrey*, University of Auckland

Thomas Brox,

Clemens Rabe,

Andreas Wedel,

Uwe Franke, Daimler

Daniel Cremers
From Structure-from-Motion Point
Clouds to Fast Location Recognition
Irschara*, TU Graz

Christopher Zach,

Jan-Michael Frahm, University of North Carolina at Chapel Hill

Horst Bischof, TU Graz
Human Action Recognition with
Interest Points and Camera Motion Compensation
Mikolajczyk*, University of Surrey
Stereo Matching with Nonparametric
Smoothness Priors in Feature Space
Smith*, University of Wisconsin-Madiso

Li Zhang, University of Wisconsin-Madison

Hailin Jin, Adobe Systems Incorporated
of Inside-Out Camera for Measuring 3D Gaze
Position in Free Space
Nishio, chubu university

Makoto Kimura, CREST, Japan Science and Technology Arency

Tomoyuki Nagahashi*, Chubu University

Hironobu Fujiyoshi, chubu university

Yutaka Hirata, chubu university
Real-Time O(1) Bilateral Filtering Qingxiong
Yang*, University of Illinois, Urbana

Kar-Han Tan,

Narendra Ahuja, University of Illinois, Urbana
Vision Based Mobile Mapping Frank
Verbiest*, Katholieke Universiteit Leuven

Luc Van Gool,

Maarten Vergauwen,

Marc Olijslagers,
Markerless Motion Capture of
Skinned Models
Ballan*, ETH Zurich
Temporal Dithering of Illumination
for Fast Shape Acquisition
Yamazaki*, AIST

Koppal Sanjeev, CMU

Srinivasa Narasimhan, CMU
Coplanar shadowgrams for acquiring
visual hulls of intricate objects
Yamazaki*, AIST

Srinivasa Narasimhan, CMU

Simon Baker, MSR

Takeo Kanade, CMU
Learning General Optical Flow
Subspaces for Egomotion Estimation and Detection of Motion Anomalies
Roberts*, Georgia Inst. of Technology

Christian Potthast, Georgia Inst. of Technology

Frank Dellaert, Georgia Inst. of Technology
Sweetheart Detection in a Retail
Checkout Environment
Fan*, IBM
“Smart Room” with Real-time
Multi-camera People Tracking
Kim*, HRL Laboratories

Swarup Medasani,

Yuri Owechko,
A Robust Approach for Automatic
Registration of Aerial Images with Untextured Aerial LiDAR Data
Wang*, University of Southern California

Ulrich Neumann, USC

Who should submit? (Sorry, the deadline has now passed!)
Everyone is welcome to submit a video. The CVPR Video Review is separate
from the papers, workshops, courses, and demos of the conference.
Supplementary materials submitted in those other categories are NOT
automatically part of the Video Review, and must be submitted here
explicitly to be considered. For example, authors of accepted papers are
encouraged to submit their work, including further or late-breaking
results that didn’t fit in the paper. Live demos or working systems are
another example, where the Video Review can serve as a record for those
who didn’t get to see your innovations in person. Working systems are also
very welcome. At least one of the authors must be registered for the

Important Dates

Submission deadline: 20th April 2009, at 16:00 US Pacific time (see world clock)
Decision Notification: 27th April 2009

General Instructions
Submissions will be assessed using these criteria:
- Visual appeal
- Technical content
- Informative / self-contained content
- Length commensurate with contribution (5 min. maximum)
- No product advertising, per-se

Videos must be submitted IN THEIR FINAL VERSION, as they should appear to the public. Reviewing will be single-blind. Please submit digital video files, with or without audio, encoded with a standard compression algorithm (see detailed instructions below) and in the resolution of 720×480 square pixels and 29.97 fps. Audio narrations are encouraged, but videos should not depend on them too much, since the venue may be noisy or the volume may get turned down during presentations.

Register and submit videos:

Program Committee
Piotr Dollar, Caltech,
Mukta Prasad, ETH Zurich
Spencer Reynolds, ILM
Marc Sturzel, EADS
Drew Steedly, Microsoft LiveLabs
Mike Terry, U. of Waterloo


Detailed Instructions
MPEG-4 is an example of a fairly standard algorithm implemented in Quicktime 6+ or avi-friendly codecs such as xVid (preferred), DivX, and x264. 5 Minutes should fit within the submission site’s 100 Mb quota. These files will appear as .flv’s on the conference DVD, and will also be encoded to a video-DVD to play on NTSC monitors in Miami. If, instead, you are comfortable encoding with MPEG-2 for DVDs using tools such as TMPGEnc, then please keep the video bitrate below 7000 kbit/sec. For uniformity, each video MUST have a CVPR 2009 Video Review “leader” for 4+ seconds: a special static introduction sequence featuring the title, authors, and optional names/logos of the authors’ affiliations. The leader is provided here as a power-point.ppt or as a CVPR2009_VideoReviewLeader_blank.png, and looks like this:
Audio should be encoded with xVid, AC3, MP3, WAV/PCM, or AAC. Here is guitar5.wav to help standardize everyone’s audio-levels.

(This sample tone comes from Hakachukai’s Audio Sample Page, and is “Guitar4″, 16bit mono sound @ 44.1 khz, PCM WAV format)

Further information & updates will appear here:

Please direct questions to:













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