This is a follow up article on video boundary detection part 2, gradual transition detection.

There’re many types of gradual transitions. For example, fade in/fade out, dissolve, wipe, etc.

In part 2, I’ve covered the detection of gradual transition detection. The twin-comparison method is effective in detecting graudual transitions, but it cannot determine [...]

Side Note: First draft on Apr 14 2011.

This article is a follow up of the video boundary detection for abrupt transition.  Intensity histogram measurement used in abrupt transition detection is used for gradual transition detection.

Gradual transitions are more difficult to detect than abrupt transitions. It has a lot of forms. Wipe, [...]

Side Note: First Draft on Apr 13 2011.

Video boundary detection is a foundamental technique for video retrieval. There’re two different types of transitions,  abrupt transition (also called cut) and gradual transitions, which includes fade in/fade out, dissolve, wipe, etc.

This article covers abrupt video transition detection and provide a simple implementation in Matlab.

Abrupt [...]

Side Note: First Draft on Apr 1 2011.

This article is a follow up of the Part 2 Producing the Trimap.

4. Color Likelihood Propagation

The Trimap based on Iprob divides the video frame into foreground (F), background (B) and unknown (U) regions. MRF can be applied to classify the pixels in [...]

Side Note: First draft on Mar 31 2011.

This article is a follow up of the part 1 Bayesian Estimation.

2. Producing the Trimap

Below is an example of a trimap,

Figure 1. Trimap based on Iprob

How do we get this trimap?

Part 1 has [...]

Side Note: First draft on Mar 30 2011.

This article is mainly based on the reference paper 1 and 2.

Video bilayer segmentation refers to the process of dividing the video frames into foreground and background. Here we introduce a video bilayer segmentation process which is close to real-time.

The entire process can be [...]