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State-of-the Art Motion Estimation in the Context of 3D TV

State-of-the Art Motion Estimation in the Context of 3D TV

Vania V. Estrela, A. M. Coelho
Copyright: © 2013 |Pages: 26
ISBN13: 9781466626607|ISBN10: 1466626607|EISBN13: 9781466626911
DOI: 10.4018/978-1-4666-2660-7.ch006
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MLA

Estrela, Vania V., and A. M. Coelho. "State-of-the Art Motion Estimation in the Context of 3D TV." Multimedia Networking and Coding, edited by Reuben A. Farrugia and Carl J. Debono, IGI Global, 2013, pp. 148-173. https://doi.org/10.4018/978-1-4666-2660-7.ch006

APA

Estrela, V. V. & Coelho, A. M. (2013). State-of-the Art Motion Estimation in the Context of 3D TV. In R. Farrugia & C. Debono (Eds.), Multimedia Networking and Coding (pp. 148-173). IGI Global. https://doi.org/10.4018/978-1-4666-2660-7.ch006

Chicago

Estrela, Vania V., and A. M. Coelho. "State-of-the Art Motion Estimation in the Context of 3D TV." In Multimedia Networking and Coding, edited by Reuben A. Farrugia and Carl J. Debono, 148-173. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2660-7.ch006

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Abstract

Progress in image sensors and computation power has fueled studies to improve acquisition, processing, and analysis of 3D streams along with 3D scenes/objects reconstruction. The role of motion compensation/motion estimation (MCME) in 3D TV from end-to-end user is investigated in this chapter. Motion vectors (MVs) are closely related to the concept of disparities, and they can help improving dynamic scene acquisition, content creation, 2D to 3D conversion, compression coding, decompression/decoding, scene rendering, error concealment, virtual/augmented reality handling, intelligent content retrieval, and displaying. Although there are different 3D shape extraction methods, this chapter focuses mostly on shape-from-motion (SfM) techniques due to their relevance to 3D TV. SfM extraction can restore 3D shape information from a single camera data.

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