When comparing video compression algorithms, the most common performance indicator is
the rate-distortion dependency, ie how effective is the algorithm in reducing the source video …

We pose the problem of energy-optimized lossless compression and analyze a simple
compression framework in which energy consumption is given by a weighted sum of two …

Loss of coded data during its transmission can affect a decoded video sequence to a large
extent, making concealment of errors caused by data loss a serious issue. Previous work in …

In computer vision, an active vision source is a sensor that explores its environment in an
active way, deciding to investigate parts of the environment in greater depth based on what it …

This paper discusses the modeling and analysis of a systematic lossy source channel
coding system for errorresilient video transmission. The systematic portion of the …

In this paper we propose an energy-aware scheme using joint source-channel coding
(JSCC) with unequal error protection (UEP) for scalable video delivery over packet-lossy …

High-quality and low-latency video streaming is essential to providing a natural user
experience in video conferencing. This is challenging over lossy networks since …

Typical image compression algorithms produce data streams which require a very reliable
communication-they are not designed for transmission in an environment in which data may …

We consider the problem of streaming packetized media over the Internet from a server
through a base station to a wireless client, in a rate-distortion optimized way. For error …

Rapid growth in wireless networks is fueling demand for video services from mobile users.
While the problem of transmitting video over unreliable channels has received some …