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Video sequences

BLIND DECONVOLUTION OF VIDEO SEQUENCES

BLIND DECONVOLUTION OF VIDEO SEQUENCES

... These sequences of about 75 frames of 512 × 512 pixels were processed in about 80 seconds per frames on a Pentium IV CPU at ...studied sequences is shown ...deconvolved video sequences is ...

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Seeing Faces in Video by Computers: editorial for special issue on Face Processing in Video Sequences

Seeing Faces in Video by Computers: editorial for special issue on Face Processing in Video Sequences

... As higher resolution of the faces becomes available, it becomes possible to track face not only in 2D, i.e. with respect to image coordinates, but also in 3D, i.e. with six degrees of freedom. This is addressed by the ...

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Tracking of hidden parts in video sequences and other problems raised by the 3D reconstruction of the urban environment

Tracking of hidden parts in video sequences and other problems raised by the 3D reconstruction of the urban environment

... in Video Sequences and Other Problems Raised by the 3D Reconstruction of the Urban ...of video sequences in order to treat photographic ...real video sequences show a visible ...

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A Variability-Based Testing Approach for Synthesizing Video Sequences

A Variability-Based Testing Approach for Synthesizing Video Sequences

... generating video- sequences is ...of video sequences are synthesized offline (see the next section for a discussion about other aspects of the ...

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SPATIO-TEMPORAL SEGMENTATION AND REGIONS TRACKING OF HIGH DEFINITION VIDEO SEQUENCES USING A MARKOV RANDOM FIELD MODEL

SPATIO-TEMPORAL SEGMENTATION AND REGIONS TRACKING OF HIGH DEFINITION VIDEO SEQUENCES USING A MARKOV RANDOM FIELD MODEL

... mation of Parametric Motion Models,” Journal of Visual Com- munication and Image Representation, vol. 6, December 1995. [6] O. Brouard, F. Delannay, V. Ricordel, and D. Barba, “Robust Motion Segmentation for High ...

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ViViD: A Variability-Based Tool for Synthesizing Video Sequences

ViViD: A Variability-Based Tool for Synthesizing Video Sequences

... collect video sequences to test their video analysis solutions and different detection ...of video sequences is difficult as there are many ways in which a video can change ...

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A QUALITY ASSESSMENT PROTOCOL FOR FREE-VIEWPOINT VIDEO SEQUENCES SYNTHESIZED FROM DECOMPRESSED DEPTH DATA

A QUALITY ASSESSMENT PROTOCOL FOR FREE-VIEWPOINT VIDEO SEQUENCES SYNTHESIZED FROM DECOMPRESSED DEPTH DATA

... the video plus depth or MVD formats, and, as a consequence, of virtual synthesized views, has been conducted according to methods used for the assessment of conventional 2D ...stereoscopic video ...

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Interest points harvesting in video sequences for efficient person identification

Interest points harvesting in video sequences for efficient person identification

... A second group of methods try to perform person re- identification using no biometrics but only global appearance. Among these, various approaches have been proposed: signature based on color histograms (such as in [2], ...

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Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences

Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences

... The resulting performance, computed on a total of 760 query video sequences of 3 seconds, is presented in table 1, and illustrated on a precision-recall curve on figure 5. The main tuning parameter of our ...

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Dynamic Range Expansion of Video Sequences: a Subjective Quality Assessment Study

Dynamic Range Expansion of Video Sequences: a Subjective Quality Assessment Study

... LDR video sequences, downloaded from YouTube, as potential test material to be included in our ...considered sequences had 4K spatial resolution, but we decimated them to HD (1920×1080 pixels) to ...

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Non photorealistic simulation of video sequences for an accurate evaluation of tracking algorithms on complex scenes

Non photorealistic simulation of video sequences for an accurate evaluation of tracking algorithms on complex scenes

... multi-target sequences could be generated from several ...four video sequences (one real, two photorealistic, and one ...these sequences are compared to see how reliably the synthetic ones can ...

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ViBe: a powerful random technique to estimate the background in video sequences

ViBe: a powerful random technique to estimate the background in video sequences

... 3.1. Model initialization Although the model could easily recover from any type of initialization, for example by choosing a set of random val- ues, it is convenient to get an accurate background estimate as soon as ...

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A multi-cue spatio-temporal framework for automatic frontal face clustering in video sequences

A multi-cue spatio-temporal framework for automatic frontal face clustering in video sequences

... surveillance video sequences remains a big ...from video, an automatic cluster- ing of face detections is interesting for visual surveillance ...

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Comparing simple video quality measures for loss-impaired video sequences on a large-scale database

Comparing simple video quality measures for loss-impaired video sequences on a large-scale database

... some sequences, we noticed that the PSNR value of the sequence affected by losses has a slightly higher PSNR than the one of the encoded-then-decoded sequence not affected by ...to video content charac- ...

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Robust Face Tracking in Video Sequences

Robust Face Tracking in Video Sequences

... TUNA is able to perform very well in video sequences having motion blur (MB) due to the following facts. As each keypoint votes for the object location is associated with a LT and ST consistency, which is ...

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FAST LONG-TERM MOTION ESTIMATION FOR HIGH DEFINITION VIDEO SEQUENCES BASED ON SPATIO-TEMPORAL TUBES AND USING THE NELDER-MEAD SIMPLEX ALGORITHM

FAST LONG-TERM MOTION ESTIMATION FOR HIGH DEFINITION VIDEO SEQUENCES BASED ON SPATIO-TEMPORAL TUBES AND USING THE NELDER-MEAD SIMPLEX ALGORITHM

... 6. CONCLUSIONS In this paper, we presented a new fast long-term motion es- timation (LTME) method for HD sequences. First, a multi- resolution motion estimation is realized in order to obtain a tube as an initial ...

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ROBUST MOTION SEGMENTATION FOR HIGH DEFINITION VIDEO SEQUENCES USING A FAST MULTI-RESOLUTION MOTION ESTIMATION BASED ON SPATIO-TEMPORAL TUBES

ROBUST MOTION SEGMENTATION FOR HIGH DEFINITION VIDEO SEQUENCES USING A FAST MULTI-RESOLUTION MOTION ESTIMATION BASED ON SPATIO-TEMPORAL TUBES

... Figure 4 shows the results of the motion segmentation af- ter our GME method for the three GOF. In the map (a), we ob- serve clearly two different regions, which are the background and the moving man. The map (b) shows ...

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FAST LONG-TERM MOTION ESTIMATION FOR HIGH DEFINITION VIDEO SEQUENCES BASED ON SPATIO-TEMPORAL TUBES AND USING THE NELDER-MEAD SIMPLEX ALGORITHM

FAST LONG-TERM MOTION ESTIMATION FOR HIGH DEFINITION VIDEO SEQUENCES BASED ON SPATIO-TEMPORAL TUBES AND USING THE NELDER-MEAD SIMPLEX ALGORITHM

... 6. CONCLUSIONS In this paper, we presented a new fast long-term motion es- timation (LTME) method for HD sequences. First, a multi- resolution motion estimation is realized in order to obtain a tube as an initial ...

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ROBUST MOTION SEGMENTATION FOR HIGH DEFINITION VIDEO SEQUENCES USING A FAST MULTI-RESOLUTION MOTION ESTIMATION BASED ON SPATIO-TEMPORAL TUBES

ROBUST MOTION SEGMENTATION FOR HIGH DEFINITION VIDEO SEQUENCES USING A FAST MULTI-RESOLUTION MOTION ESTIMATION BASED ON SPATIO-TEMPORAL TUBES

... Figure 4 shows the results of the motion segmentation af- ter our GME method for the three GOF. In the map (a), we ob- serve clearly two different regions, which are the background and the moving man. The map (b) shows ...

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ViBe: A universal background subtraction algorithm for video sequences

ViBe: A universal background subtraction algorithm for video sequences

... ViBe also has the capability of dealing with large displace- ments of the camera, at the price of a modification of the base algorithm. Since our model is purely pixel-based, we can make it able to handle moving cameras ...

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