Bidirectional Motion Estimation Approach Using Warping Mesh Combined to Frame Interpolation

Jiménez, Vianney Muñoz; Mokraoui-Zergaïnoh, Anissa; Astruc, J.-P.

doi:10.1109/isspit.2008.4775707

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…If there is a presence of rotation, scale changes, or more complicated motion patterns then, the target frame interpolated by such methods may suffer from various artifacts. Several conventional mesh-based methods have been presented for interpolating frames [17], [18]. A FRU with perspective transformation [17] was proposed to employ mesh-based interpolation for objects and block-based one for background regions.…”

Section: Bi-directional Mesh-based Frame Rate Upconversion With a Denmentioning

confidence: 99%

“…In addition, OBMC on the boundary regions is employed to reduce blocking artifacts. The other FRU method based on warping mesh was proposed [18]. It extracts objects from a decoded frame and find the same objects in the next decoded frame.…”

Section: Bi-directional Mesh-based Frame Rate Upconversion With a Denmentioning

confidence: 99%

“…Mesh-based techniques [17], [18] are another alternative in an attempt to represent more realistic motion. Like most other interpolation methods, the mesh-based interpolation is sensitive to occlusions.…”

Section: Introductionmentioning

confidence: 99%

“…These approaches are able to improve video quality with natural continuity of motion. However, the block-based translational motion model can lead to blocking artifacts.Mesh-based techniques [17], [18] are another alternative in an attempt to represent more realistic motion. Like most other interpolation methods, the mesh-based interpolation is sensitive to occlusions.…”

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confidence: 99%

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Bidirectional Mesh-Based Frame Rate Up-Conversion

Min

Sim

et al. 2015

IEEE MultiMedia

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In this paper, we propose a new frame rate upconversion (FRUC) method for temporal video quality enhancement. The proposed algorithm generates an interpolated frame in between two given frames based on a bi-directional mesh interpolation (BMI), in order to cope with not only translation, but also with scale and rotation changes. BMI performance is highly influenced by the accuracy of the correspondences between the control points in the two frames. To achieve an accurate dense motion vector map (MVM) through bi-directional and unidirectional motion estimation, an initial MVM is formed by the transmitted motion vectors from coded bitstream with low computational complexity. Then, the interpolated frame is generated by frame-based BMI with the dense MVM. In our experiments, we found out that the proposed algorithm is about 2dB better than several conventional FRUC methods. Furthermore, block artifacts and blur artifacts are significantly diminished by the proposed algorithm. Index Terms-Frame rate up-conversion, mesh interpolation, uni-directional motion estimation, bi-directional motion estimation I. INTRODUCTIONrame rate up-conversion (FRUC) refers to the postprocessing methods whose goal is to improve video quality by increasing the frame rate. A number of FRUC algorithms have been developed [1]- [15], and they can be classified into two main categories. One category contains methods that generate interpolated frames without explicitly considering motion. These algorithms analyze mathematical relations regarding pixel intensity changes among neighboring frames. The second category includes motion-based techniques. Most of these methods generate interpolated frames with the help of block-based motion estimation and compensation [2]- [15]. These approaches are able to improve video quality with natural continuity of motion. However, the block-based translational motion model can lead to blocking artifacts.Mesh-based techniques [17], [18] are another alternative in an attempt to represent more realistic motion. Like most other interpolation methods, the mesh-based interpolation is sensitive to occlusions. In order to deal with these occlusions, the proposed method interpolates the target frame through bi-

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Section: Bi-directional Mesh-based Frame Rate Upconversion With a Denmentioning

confidence: 99%

Section: Bi-directional Mesh-based Frame Rate Upconversion With a Denmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Bidirectional Mesh-Based Frame Rate Up-Conversion

Min

Sim

et al. 2015

IEEE MultiMedia

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“…The selected moving objects on each decoded frames, are meshed from quadrilateral blocks which are then deformed using specific warping functions in [29].…”

Section: Interpolation 21 Introduction Of Motion Compensated Frame Interpolationmentioning

confidence: 99%

Method and architecture design for motion compensated frame interpolation in high-definition video processing

Lee

Nguyen

2009

2009 IEEE International Symposium on Circuits and Systems

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Processing (ICIP), Nov. 2009; "Novel Method and Architecture Design for Motion Compensated Frame Interpolation in High-Definition Video Processing," Yen-Lin Lee and Truong Nguyen, revised to IEEE Trans. on Circuits and Systems for Video Technology, 2009. The dissertation author was the primary author of these publications, and the listed co-author directed and supervised the research that forms the basis for this chapter.

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High frame rate Motion Compensated Frame Interpolation in High-Definition video processing

Lee

Nguyen

2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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Bidirectional Motion Estimation Approach Using Warping Mesh Combined to Frame Interpolation

Cited by 4 publications

References 13 publications

Bidirectional Mesh-Based Frame Rate Up-Conversion

Bidirectional Mesh-Based Frame Rate Up-Conversion

Method and architecture design for motion compensated frame interpolation in high-definition video processing

High frame rate Motion Compensated Frame Interpolation in High-Definition video processing

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