Automatic identification of special effects is a prerequisite for video indexing and intelligent video encoding. In this paper we present an algorithm for fade and dissolve scene change detection in video sequences. We use statistical features of the images to identify these special effects in uncompressed video. DC-estimation [4] is used to evaluate statistical features both in H.263 [lo] and ...

AbstructScalability refers to the ability to modify the resolution and/or bit rate associated with an already compressed data source in order to satisfy requirements which could not be foreseen at the time of compression. A number of researchers have already demonstrated the feasibility of efficient scalable image and video compression. The principle focus of this paper is to describe data stru...

Many video applications, such as surveillance systems are continuously increasing and the amount of processed and stored data has risen exponentially. In order to manage efficiently this video information, motion detection is necessary. This feature is required to analyze, organize and store compressed video. In this paper, we present an effective video event detection method, which uses inform...

In this paper we describe an architecture for a multi-client, multi-channel video streaming server targeted at the security market. For each connected client, the best selection of available compressed video streams per channel is made, optimizing the perceived quality of the video channels requested by the client. We propose techniques to scale the bitrate per video stream and introduce a sche...

In order to jointly optimise the quality of video coding on one hand and video analysis on the other, this paper proposes a novel approach to enhance the reusable information content in compressed video domain. By introducing a hierarchical content driven motion estimation mechanism at the encoder, complemented by a statistical prediction of region-of-interest, this approach reduces the complex...

We have proposed a smoothing and rate adaptation algorithm–SAVE (Smoothed Adaptive Video over Explicit rate networks)– for transport of compressed video over rate-controlled networks. SAVE attempts to preserve quality as much as possible, and exercises control over the source rate only when essential to prevent unacceptable delay. In order to understand the impact on quality of rate adaptation,...

Compressed video is well known to be self-similar in nature 1, 2]. We model VBR carrying Long-Range Dependent (LRD), multiplexed MPEG-2 video sources. The actual traac for the model is generated using fast-fourier transform of generate the fractional gaussian noise (FGN) sequence 14]. Our model of compressed video sources bears similarity to an MPEG-2 Transport Stream carrying video, i.e., it i...

Bandwidth smoothing techniques for the delivery of compressed prerecorded video have been shown effective in removing the burstiness required for the continuous playback of stored video. Given a fixed client-side buffer, several bandwidth smoothing algorithms have been introduced that are provably optimal under certain constraints. These algorithms, however, may be too aggressive in the amount ...

Watermarking is known to be a very difficult task. Robustness, Distortion, Payload, Security, Complexity are many constraints to deal with. When applied to a video stream, the difficulty seems to be growing in comparison to image watermarking. Many classical non malicious manipulations of a compressed stream may suppress the embedded information. For example, a simple re-compression of a DVD mo...