Content-Based Retrieval of Compressed Videos

• Jurandy Almeida UNICAMP
• Neucimar J. Leite UNICAMP
• Ricardo da S. Torres UNICAMP

Abstract

Most of existing systems for video retrieval rely on algorithms and methods which are computationally expensive, limiting their scope of application. Contrary to this trend, the market has shown a growing demand for mobile and embedded devices. In this context, this thesis introduces five novel approaches for the analysis, indexing, and retrieval of digital videos in limited capacity devices. All these contributions are combined to create a computationally fast system, which is able to achieve a quality level superior to current solutions.

References

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