Soft computing, visual communication, spatial/temporal events, and optimum bandwidth utilization

Soft computing and minimization/optimization of video/imagery redundancy

“…The integrated data stream can be a combination of compressed video to cover temporal events, and compressed imagery to cover spatial events [3]. One example is MPEG and wavelet, where MPEG is the baseline for full-motion video compression, and wavelet enhances the compression of still imagery or selected video frames such as MPEG I-frames.…”

Real-time pre-ATR video data reduction in wireless networks

“…In such a case, the MPEG compression standard is an ideal base for analyzing such a type of video imagery, with I-frames representing spatial events (high image quality: high resolution, color), and daughter frames representing temporal events, with lower quality images [3] . However, the optimization of video stream, based on compression vs. error correction trade-off [3] , leading to continuous video communication [3] , should be based on maximization of PSNR (Peak-Signal-to-Noise-Ratio) rather than a minimization of BER ( [3] , as briefly discussed in Section 4, including secondary issues such as: time stamps, metadata, crypto, authentication, watermarking, and multi-path fading reduction through spread-spectrum (such as FHSS: Frequency Hopping Spread Spectrum) techniques. In this context, the target's pre-ATR includes: location, size, aspect ratio, and velocity vector finding.…”

“…For motion-based ATR or pre-ATR, it is important to understand video image transfer processing which is a combination of image compression and Bit-Selective -Error-Correction (BSEC) [3] , based on Hardened Image Concept, as sown in Fig. 3.…”

Ultra-real-time video processing and compression in homeland security applications

“…The PCC procedure can be generalized to a 3D object profile. In such a case, we need to integrate 2D PCC with rigid body orientation procedures, well-known in image understanding, based on affine (rigid body), six degrees of freedom (three rotations and three translations) transformation and covariance matrix formalism [15] . …”