2008
DOI: 10.1109/tcsvt.2007.903804
|View full text |Cite
|
Sign up to set email alerts
|

Robust Dominant Motion Estimation Using MPEG Information in Sport Sequences

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2010
2010
2013
2013

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(6 citation statements)
references
References 11 publications
0
6
0
Order By: Relevance
“…In the first algorithm that used the Helmholtz Tradeoff Estimator for GME [7], the homography parameters were calculated by first estimating lines out of motion vectors and then calculating perspective transformations out of these lines. A line l i in implicit representation a i x + b i y + c i = 0 can also be described perspectively by a vector…”
Section: Robust Gme Based On Line Trackingmentioning
confidence: 99%
See 3 more Smart Citations
“…In the first algorithm that used the Helmholtz Tradeoff Estimator for GME [7], the homography parameters were calculated by first estimating lines out of motion vectors and then calculating perspective transformations out of these lines. A line l i in implicit representation a i x + b i y + c i = 0 can also be described perspectively by a vector…”
Section: Robust Gme Based On Line Trackingmentioning
confidence: 99%
“…To grant better comparability, PSNR values for error frames without motion compensation are also provided. For GME as preprocessing step for motion compensation we used the original algorithm [7], a modified version using eight lines, our new method and a very accurate pixel-based method using gradient descent [1]. As can be seen, our new method performs best among the selected block-based methods in every shown case concerning the accuracy of frame registration.…”
Section: Experimental Evaluationmentioning
confidence: 99%
See 2 more Smart Citations
“…These features are used as powerful tool in video summarization, indexing, and retrieval. Key frames can be extracted by using color information [2][3][4][5][6], motion based information [7][8], audio information [9-12], textual features [13][14][15], and spatial-temporal information [16][17]. Audio information is often utilized together with image features.…”
Section: Introductionmentioning
confidence: 99%