Video error concealment: a brief presentation

Typical error control techniques are not very well suited for video transmission. On the other hand, video transmission over error prone channels has increased greatly, e.g., over IP and wireless networks. These two facts combined together provided the necessary motivation for the development of a new set of techniques (error concealment) capable of dealing with transmission errors in video systems. These techniques can be categorized according with the approach they take to solve the problem. This categorization is presented, describing the assumptions in which they are based and giving a few examples in each category. Finally, the advantages and disadvantages of each category are presented

Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking

Audio signals are information rich nonstationary signals that play an important role in our day-to-day communication, perception of environment, and entertainment. Due to its non-stationary nature, time- or frequency-only approaches are inadequate in analyzing these signals. A joint time-frequency (TF) approach would be a better choice to efficiently process these signals. In this digital era, compression, intelligent indexing for content-based retrieval, classification, and protection of digital audio content are few of the areas that encapsulate a majority of the audio signal processing applications. In this paper, we present a comprehensive array of TF methodologies that successfully address applications in all of the above mentioned areas. A TF-based audio coding scheme with novel psychoacoustics model, music classification, audio classification of environmental sounds, audio fingerprinting, and audio watermarking will be presented to demonstrate the advantages of using time-frequency approaches in analyzing and extracting information from audio signals.</p