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Shot-Level Camera Motion Estimation Based on a Parametric Model
2005
TREC Video Retrieval Evaluation
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This paper presents a system for shot-level camera motion analysis via the estimation of global motion from image sequences. ...
An affine model is used to parameterize the global motion resulting from motion of a camera (e.g. pan, zoom, tilt, rotation). ...
Shot-level camera motion estimation is one of five tasks in TRECVID 2005. ...
dblp:conf/trecvid/DuanWZXTJL05
fatcat:letswq6dcnc4blwzuu33rfmduu
Temporal segmentation of video objects for hierarchical object-based motion description
2002
IEEE Transactions on Image Processing
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We also provide a set of query-by-example results for low-level EMU retrieval from a database based on similarity of the representative dominant affine models. ...
Index Terms-Motion description, parametric motion model, video browsing and navigation, video indexing, video summary. ...
An appropriate parametric motion model is selected to represent the background (camera) motion for each shot. ...
doi:10.1109/83.982821
pmid:18244619
fatcat:pqhkgpef4vbl3ewp2zh64ksyqm
Non-Parametric Motion Activity Analysis for Statistical Retrieval with Partial Query
2001
Journal of Mathematical Imaging and Vision
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It relies on the analysis of motion activity in video sequences based on a non-parametric probabilistic modeling of motion information. ...
As a consequence, given a set of videos, we are able to construct a structured base of samples of entities of interest represented by their associated statistical models of motion activity. ...
In this paper, we adapt this kind of approaches to deliver a relevant motion characterization in a more flexible way compared to descriptions based on 2D parametric motion models. ...
doi:10.1023/a:1011238113358
dblp:journals/jmiv/FabletB01
fatcat:uosj6smwdrgpjou5fpwaqv43im
Extracting Objects and Events from MPEG Videos for Highlight-based Indexing and Retrieval
2010
Journal of Multimedia
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Video highlight high-level semantics are then automatically extracted via low-level analysis in the detection of human objects and camera motion events, and finally these highlights are taken for shot-level ...
Automatic recognition of highlights from videos is a fundamental and challenging problem for content-based indexing and retrieval applications. ...
A. Determining Camera Motion Patterns In the 6-parameter projective camera model considering only rotation and zoom between frames defined in Eqs. ...
doi:10.4304/jmm.5.2.95-103
fatcat:3dfbgaovgzajzipb23p25rqdba
Motion Pattern-Based Video Classification and Retrieval
2003
EURASIP Journal on Advances in Signal Processing
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In addition, this scheme also improves significantly the performance of motion-based shot retrieval due to the comprehensiveness and effectiveness of motion pattern descriptor and the semantic classification ...
In this paper, we propose a motion pattern descriptor, motion texture that characterizes motion in a generic way. ...
Parametric global motion estimation generates the parametric model of camera motion or dominant motion such as affine model. ...
doi:10.1155/s1110865703211021
fatcat:aevcb5dvf5dgnmzpliuuds54fa
Motion-Based Selection of Relevant Video Segments for Video Summarization
2005
Multimedia tools and applications
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The sequential segmentation of the video is performed by detecting changes in the dominant image motion, assumed to be related to camera motion and represented by a 2D affine model. ...
We present a method for motion-based video segmentation and segment classification as a step towards video summarization. ...
Generally, the segmentation based on global image motion seems to be at an intermediate level between segmentation into shots and segmentation based on camera motion. ...
doi:10.1007/s11042-005-0891-0
fatcat:olyw45rdard7tjbuayqfbm6oym
Video summarization and semantics editing tools
2001
Storage and Retrieval for Media Databases 2001
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The dominant motion information has been used explicitly for shot boundary detection, camera motion characterization, visual content variations description, and for key frame extraction. ...
The whole system has been designed with a clear focus on the extraction and exploitation of motion information inherent in the dynamic video scene. ...
This is followed by the process of dominant motion estimation, which computes a 2D affine motion model parameters for successive pair of frames and as byproduct a motion-based visual content variations ...
doi:10.1117/12.410933
dblp:conf/spieSR/XuZS01
fatcat:qjgbrfalxbaifnodw7awl5yhhm
A Generic Approach For Motion-Based Video Parsing
2007
Zenodo
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on sub-shot level. ...
This leads to a motion-based temporal segmentation of the analyzed video sequence on sub-shot level. ...
doi:10.5281/zenodo.40349
fatcat:6fol7txbznh4pmp54vd22xwn7u
Fast 3D modeling from video
1999
1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451)
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To estimate the 3D shape and 3D motion from the optical flow, we use a fast algorithm that is based on the factorization of a matrix that is rank 1 in a noiseless situation. ...
It recovers the 3D shape parameters and the 3D motion parameters by first estimating the parameters of the induced optical flow representation. ...
Current systems that provide content-based access work by first segmenting the video in a sequence of shots and then labeling each shot with a distinctive indexing feature. ...
doi:10.1109/mmsp.1999.793849
dblp:conf/mmsp/AguiarM99
fatcat:wijwaxvplbcrlbvl2xo4e6cwtm
Low-complexity global motion estimation from P-frame motion vectors for MPEG-7 applications
2000
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)
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We also report the integration of the estimator into a complete MPEG-7 system for search-and-retrieval of video based on motion characteristics. ...
A superimposed global motion model is fitted to decoded P-frame motion vector fields, providing real-time performance. ...
The Parametric Motion descriptor (PMD) applies a hierarchy of parametric 2-D motion models and is suitable for global as well as for object motion classification. ...
doi:10.1109/icip.2000.899352
dblp:conf/icip/SmolicHO00
fatcat:axdl3krdgzar3grmdp3ng4ic3m
Global Motion Estimation and Its Applications
[chapter]
2012
Video Compression
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It covers compressive video coding, distributed video coding, motion estimation and video quality. ...
Indeed, as the quality of the compressed video for a given size or bit rate increases, so does users' level of expectations and their intolerance to artefacts. ...
A global motion estimation method is proposed based on randomly selected MV groups from motion vector field with adaptive parametric model determination [5] . ...
doi:10.5772/34166
fatcat:7a6g522qyvhdnfgrup4fmm24de
Taxonomy of Directing Semantics for Film Shot Classification
2009
IEEE transactions on circuits and systems for video technology (Print)
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based on edge occlusion reasoning. ...
We demonstrate the validity of the framework and effectiveness of the motion-based descriptors by classifying shots from Hollywood domain movies according to the proposed taxonomy with satisfactory results ...
Shot Level Distance-Based Descriptor In order to gauge the camera distance of every shot, the key frame level descriptors of the shot, or KFDV, are fed into a probabilistic SVM classifier (details in Section ...
doi:10.1109/tcsvt.2009.2022705
fatcat:nfunz7gqkvfybiuzwn5kcvq2ke
Evaluation of pixel- and motion vector-based global motion estimation for camera motion characterization
2009
2009 10th Workshop on Image Analysis for Multimedia Interactive Services
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The best motion vector-based GME method is then evaluated together with a common and a simplified pixel-based GME technique for camera motion characterization. ...
Pixel-based and motion vector-based global motion estimation (GME) techniques are evaluated in this paper with an automatic system for camera motion characterization. ...
This leads to a motion-based temporal segmentation for an analyzed video sequence on sub-shot level. ...
doi:10.1109/wiamis.2009.5031429
dblp:conf/wiamis/HallerKS09
fatcat:ryhy2cjm7bdspfwyr5nkxa7ige
CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification
2014
IEEE transactions on circuits and systems for video technology (Print)
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In this paper, we propose a non-parametric camera motion descriptor called CAMHID for video shot classification. ...
Firstly, the proposed camera motion descriptors for video shots classification are computed on a video dataset consisting of regular camera motion patterns (e.g., pan, zoom, tilt, static). ...
Camera motion descriptors are used to represent the type of camera motion happened in a video shot. Mosaic is captured by using the parameters of the parametric motion model of a camera. ...
doi:10.1109/tcsvt.2014.2345933
fatcat:3662vrk3ffgtxiiwkrd2m5deva
Recognition of Dynamic Video Contents With Global Probabilistic Models of Visual Motion
2006
IEEE Transactions on Image Processing
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Motion measurements include affine motion models to capture the camera motion and low-level local motion features to account for scene motion. ...
To validate the interest of the proposed motion modeling and recognition framework, we report dynamic content recognition results on sports videos. ...
As for motion measurements, we consider, on one hand, parametric motion models to capture the camera motion, and on the other hand, low-level local motion features to account for the scene motion. ...
doi:10.1109/tip.2006.881963
pmid:17076401
fatcat:cclh322rt5fxze5qzfnnbi2vj4
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