Compressed digital video is one of the most important traf-c types in future integrated services networks. However, a network service that supports delay-sensitive video imposes many problems since compressed video sources are variable bit rate (VBR) with a high degree of burstiness. In this paper, we consider a network service that can provide deterministic guarantees on the minimum throughput...

| Compressed digital video is one of the most important traac types in future integrated services networks. However, a network service that supports delay-sensitive video imposes many problems since compressed video sources are variable bit rate (VBR) with a high degree of burstiness. In this paper, we consider a network service that can provide deterministic guarantees on the minimum throughpu...

Many advanced video applications require manipulations of compressed video signals. Popular video manipulation functions include overlap (opaque or semi-transparent), translation, scaling, linear filtering, rotation, and pixel multiplication. In this paper, we propose algorithms to manipulate compressed video in the compressed domain. Specifically, we focus on compression algorithms using the D...

In this paper, we propose shape features that are based on MPEG-4 compressed domain shape information. These shape features can be used for efficient retrieval of both MPEG-4 video objects and video object planes. The proposed shape descriptors are invariant of the shape size, translation, and rotation. Because the shape descriptors are computed using the MPEG-4 compressed domain information, e...

Continuous video applications such as video transfer, searching and display can save time and space by operating on compressed data. The problem is that most mid and high level image operations, such as object recognition, are formulated as sequences of operations in the image domain. Such methods need direct access to pixel information as a starting point, but the pixel information in a compre...

This paper firstly presents a study of video quality for H.264 compressed videos compared to MPEG-4 (simple profile) from a perceptual point of view. Traditionally, peak signal-to-noise ratio (PSNR) has been used to represent the quality of a compressed video sequence. However, PSNR has been found to correlate poorly with subjective quality ratings, particularly at much lower bitrates and low f...

Compressed digital video is one of the most important traffic types in future integrated services networks. However, a network service that supports delay-sensitive video imposes many problems since compressed video sources are variable bit rate (VBR) with a high degree of burstiness. In this paper, we consider a network service that can provide deterministic guarantees on the minimum throughpu...

Compressed sensing is a state-of-the-art technology which can significantly reduce the number of sampled data in sparse signal acquisition. This paper studies the distributed compressed sensing (DISCOS) of video signals. To this end, we propose adaptive adjustments to the block-based (local) measurement rate, the frame-based (global) measurement rate, and the sparse dictionary size, thus formin...

Jae-Gon Kim et al. 269 ABSTRACTWe propose an efficient scheme for camera motion characterization in MPEG-compressed video. The proposed scheme detects six types of basic camera motions through threshold-based qualitative interpretation, in which fixed thresholds are applied to motion model parameters estimated from MPEG motion vectors (MVs). The efficiency and robustness of the scheme are vali...