JOURNAL ARTICLE

Content-based video sequence representation

Radu JasinschiJosé M. F. Moura

Year: 2002 Journal:   Proceedings - International Conference on Image Processing Vol: 2 Pages: 229-232   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The compact representation of video sequences is important for many applications, including very low bit-rate video compression and digital image libraries. We discuss here a novel approach, called generative video, by which video sequences are compactly represented in terms of their contents. This is achieved by reducing the video sequence to constructs. Constructs encode video sequence contents, such as, the shape and the velocity of independently moving objects, and the camera motion. Constructs are of two types: world images and generative operators. World images are augmented images incrementally generated. Generative operators, access video sequence contents and reconstruct the sequence from the world images. The reduction of a video sequence to constructs proceeds in steps. First, the shape of independently moving regions in the image is tessellated into rectangles. Second, world images are generated using the tessellated shape representation. This is described with an experiment using a real video sequence.

Keywords:
Sequence (biology) Computer science Computer vision Artificial intelligence Representation (politics) ENCODE Generative grammar Video compression picture types Computer graphics (images) Video tracking Video processing

Metrics

32
Cited By
5.57
FWCI (Field Weighted Citation Impact)
4
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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