Confusion on motion estimation block diagram-MPEG video compression-:

In summary, the conversation discusses the concepts of block matching and prediction error coding in video compression. The source paper explains that frame n is not segmented into blocks because it is used as a reference frame for motion estimation. The motion vectors from the previous frame are used to predict the motion of the current frame. In prediction error coding, the differences between predicted and actual values are coded as an error signal for reconstruction.
  • #1
shivajikobardan
674
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https://lh4.googleusercontent.com/g6wQjnQ6p3IVt86-_kwnNVwyOb_iUxUXWChyf0XZR5PO17uOnPbNhCxdpfUSScvU8sAR8Al2FNRMoeMEqLUUuJsvGOSnpFO94tutB2h-927rxVYRDUGzi-JF9FYs9hKivGdCvrAP
My doubts are as follows-:

-> Why frame n is not segmented to blocks?

-> Why no inputs from (n-1) side for block matching?
-> What do we do in prediction error coding?

Source-: https://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/AV0506/s0561282.pdf

I have read this many times but that didn’t help to clear my doubts.



This video. This confused the hell out of me.
 
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  • #2
The answers to your questions can be found in the paper linked above. Frame n is not segmented into blocks because it serves as a reference frame for motion estimation. The motion vectors obtained from the (n-1) side are used to predict the motion of the current frame. In prediction error coding, the differences between the predicted values and the actual values are coded as an error signal which is then sent to the decoder for reconstruction. Hope this helps.
 

1. What is motion estimation in MPEG video compression?

Motion estimation is a process used in video compression algorithms, such as MPEG, to reduce the redundancy of frames in a video sequence. It involves comparing consecutive frames and identifying areas of movement, and then using mathematical algorithms to estimate the motion vectors for those areas.

2. Why is motion estimation important in video compression?

Motion estimation is crucial in video compression because it allows for more efficient compression by only storing the differences between frames instead of every single frame. This results in smaller file sizes and faster transmission of video data.

3. What is a block diagram in reference to motion estimation in MPEG video compression?

A block diagram in this context is a visual representation of the motion estimation process. It typically includes the different steps involved in motion estimation, such as frame comparison, motion vector estimation, and motion compensation.

4. How does motion estimation impact video quality?

Motion estimation can have a significant impact on video quality. If the motion vectors are accurately estimated, the compressed video will closely resemble the original video. However, inaccurate motion estimation can result in visual artifacts and a decrease in video quality.

5. Are there different types of motion estimation algorithms used in MPEG video compression?

Yes, there are various types of motion estimation algorithms used in MPEG video compression, such as full search, diamond search, and hexagonal search. These algorithms differ in their speed and accuracy, with some being more computationally intensive but providing better quality results.

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