Image sequence processing using spatiotemporal segmentation

• Published in: IEEE transactions on circuits and systems for video technology Vol. 9; no. 5; pp. 798 - 807
• Main Authors: Wu, G.K., Reed, T.R.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.08.1999; Institute of Electrical and Electronics Engineers
• Subjects: Algorithms; Applied sciences; Circuits; Conversion; Exact sciences and technology; Filtering; Filtration; Image coding; Image converters; Image edge detection; Image processing; Image segmentation; Image sequence analysis; Image sequences; Information, signal and communications theory; Low pass filters; Performance enhancement; Segmentation; Signal processing; Spatiotemporal phenomena; Telecommunications and information theory; Markov process; Image analysis; Experimental result; Algorithm performance; Segmentation; Image processing; Image sequence; Video signal; Modeling; Selective filter
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/76.780367

We investigate the improvements that can be obtained in several conventional video-processing algorithms through the incorporation of three-dimensional (3-D) (spatiotemporal) segmentation information. Four classes of image sequence processing techniques are considered: low-pass filtering, high-pass filtering, high-frequency emphasis, and 3-D Sobel filtering. It is demonstrated that segmentation information can improve the performance of these techniques substantially so that this approach may be promising for other applications (e.g., deinterlacing and resolution conversion) as well.