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  1. No Access

    Chapter

    Light Field Spectral Analysis

    As illustrated in Chapter 1, light field is a four-dimensional signal recording the light rays in the space. The goal of light field spectral analysis is to compute the Fourier transform of the light field sig...

    Cha Zhang, Tsuhan Chen in Light Field Sampling (2006)

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    Chapter

    The Freeform Sampling Framework

    In the previous chapters, we studied the uniform sampling of the light field data using the traditional Fourier transform based sampling analysis method. Such analysis may provide a general guidance on how a s...

    Cha Zhang, Tsuhan Chen in Light Field Sampling (2006)

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    Chapter

    The Self-Reconfigurable Camera Array

    In this chapter, we present a self-reconfigurable camera array system, which captures video sequences from an array of mobile cameras, renders novel views on the fly, and reconfigures the camera positions to a...

    Cha Zhang, Tsuhan Chen in Light Field Sampling (2006)

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    Chapter

    The Light Field

    Cha Zhang, Tsuhan Chen in Light Field Sampling (2006)

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    Chapter

    Light Field Uniform Sampling

    The spectrum analysis discussed in the previous chapter lays the foundation of light field sampling. The next step is to sample the light field according to the spectrum and make sure there is no aliasing duri...

    Cha Zhang, Tsuhan Chen in Light Field Sampling (2006)

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    Chapter

    Light Field Active Sampling

    In this chapter, we will apply the active sampling framework in Chapter 4 for the light field. We first discuss the local consistency score of light field applications in Section 5.1. Active incremental sampli...

    Cha Zhang, Tsuhan Chen in Light Field Sampling (2006)

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    Chapter

    The Light Field

    This book sets out to address the following two questions:

    How many images are needed for IBR? If such a number is limited, where shall we capture these images?

    Cha Zhang, Tsuhan Chen in Light Field Sampling (2006)

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    Book

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    Article

    On Probability Density for Modeling Video Traffic

    Accurate models for variable bit rate (VBR) video traffic need to allow for different frame types present in the video, different activity levels for different frames, and a variable group of pictures (GOP) st...

    Deepak S. Turaga, Tsuhan Chen in Journal of VLSI signal processing systems … (2003)

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    Article

    Audio Feature Extraction and Analysis for Scene Segmentation and Classification

    Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past several years has focused on the use...

    Zhu Liu, Yao Wang, Tsuhan Chen in Journal of VLSI signal processing systems … (1998)

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    Chapter

    Video Coding with Adaptive Block Update

    The encoding mode selection issue in a multimode block based video coder is addressed. An adaptive strategy is proposed which exploits interframe correlation to achieve low bit rate coding while maintaining th...

    C. W. Kok, Tsuhan Chen in Mobile Multimedia Communications (1997)