Techniques and Standards for Image, Video, and Audio Coding
By K. Rao, J. Hwang. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Kai Zhen
- Mi Suk Lee
- Jongmo Sung
- Minje Kim
- Seungkwon Beack
- Charilaos A. Christopoulos
- Athanassios N. Skodras
- Tian-Sheuan Chang
Citations in the corpus
- Audiodec: An Open-Source Streaming High-Fidelity Neural Audio Codec (2023, neutral): “Audio codec techniques have been applied to a variety of real-world applications such as secure communication [1,2], low-cost mobile and internet communications [3,4], and live videos and music streamings [5].”
- Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding (2019, background): “Speech coding, where the encoder converts the speech signal into bitstreams and the decoder synthesizes reconstructed signal from received bitstreams, serves an important role for various purposes: to secure a voice communication [1][2], to facilitate data transmission [3], etc.”
- On the data reuse and memory bandwidth analysis for full-search block-matching VLSI architecture (2002, methodology): “OTION estimation has been widely employed in the H.26x, MPEG-1, -2, and -4 video standards [ 1 ] to exploit the temporal redundancies inherent within image frames.”
- The JPEG 2000 still image compression standard (2001, methodology): “The development of standards (emerging and established) by the International Organization for Standardization (ISO), the International Telecommunications Union (ITU), and the International Electrotechnical Commission (IEC) for audio, image, and video, for both transmission and storage, has led to wo”