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The study describes several rate-distortion (RD) optimal methods for slicing and unequal error protection (UEP) of packets over IP that also allows the transmission of packets with bit errors, hence giving highly accurate and efficient end results.

A new framework is proposed for multiple scalable bitstream video communications over lossy channels. Its major feature is the encoder that estimates the effects of postprocessing concealment and includes those effects in the rate-distortion analysis.

A joint source-channel decoding scheme is proposed that is based on JPEG2000 codestreams and LDPC channel codes. The results have shown that this method needs very less iterations and has improved overall system performance.

A physics-based method is proposed to restore simple contrast loss due to scattering medium and/or other sources of airlight. The results with real video data obtained in poor visibility conditions have indicated frame-to-frame consistency of better than 1% of maximum level.

A novel wavelet-based multiple description image coder, referred to as the feature-oriented MDC (FO-MDC), is proposed, where the multiple description (MD) coder has exploited the statistics of the wavelet coefficients and has identified the subsets of samples that are sensitive to packet loss. This method has proved to be more robust for image transmission even with high packet loss ratios, which has made it suitable for protecting multimedia streams over packet-erasure channels.

A combined source/channel coding scheme is proposed for transmission of images over fading channels, which employs rate-compatible low-density parity-check codes along with embedded image coders such as JPEG2000 and set partitioning in hierarchical trees (SPIHT). The sensitivity of this scheme is studied in the presence of channel estimation error at the transmitter and shown that under most conditions the scheme is more robust compared to existing schemes.

A data hiding scheme is proposed that improves the error resilience of object-based video by adaptively embedding the shape and motion information into the texture data. The results have shown that the proposed hybrid source-channel coding scheme significantly outperforms methods without data hiding or unequal error protection.

A novel scheme for error-resilient image transmission is proposed by employing a product coder consisting of low-density parity check (LDPC) codes and Reed-Solomon codes in order to deal effectively with bit errors. The results have shown the superiority of the proposed system in comparison to other techniques for image transmission.

A novel sliding window-based packetization scheme to rectify noticeable video quality variations due to varying channel conditions is proposed, which combats bursty packet loss by combining three techniques, namely unequal error protection (UEP), retransmission and group of pictures (GOP)-level interleaving. Experiments reveal that by introducing retransmission mechanisms and rate allocations, more consistent video quality can be achieved under various packet loss probabilities.

The robust estimation of missing regions in images and video using adaptive, sparse reconstructions is studied and primarily application is on missing regions of pixels containing textures, edges, and other image features that are not readily handled by prevalent estimation and recovery algorithms. The developed estimation framework is general and can be applied to other non-stationary signals with a choice of linear transforms.

The main ideas introduced in Part I with adaptive techniques to arrive a powerful algorithm that estimates missing data in non-stationary signals are combined and the proposed approach operates automatically based on a chosen linear transform. Both options are expected to lead to less robust results when compared to the techniques of this sequence, which utilize well-known basis in progressively enforcing insignificance without regard to the number of atoms in the decomposition.

The errresilient source coding at the encoder, Forward Error Correction (FEC) and retransmission at the application layer and error concealment at the receiver are studied in an Integrated Joint Source-Channel Coding (IJSCC) framework. Pure FEC and application layer retransmission are shown to each achieve optimal results depending on the packet loss rates and the round-trip time.

An image transmission scheme is proposed for the communication of JPEG2000 images over wireless channels. The proposed system recognizes the compressed JPEG2000 stream in a product-code scheme consisting of Turbo codes and Reed-Solomon codes.

A novel image transmission scheme for communicating set partitioning in hierarchical trees image streams over wireless channels is presented. Turbo codes and Reed-Solomon codes are employed by the new scheme for dealing effectively with burst errors.

A joint source/channel coding (JSCC) scheme tailored for JPEG20002 is proposed. It combines the forward error collection (FEC) capability provided by channel codes with error detection/localization capability provided by JPEG2000 error resilience (ER) mechanisms in an effective way.

The process in which the priority encoding transmission (PET) framework might be leveraged to exploit both unequal error protection and limited retransmission for RD-optimized delivery of streaming media is illustrated. PET framework allows for a decoupled optimization algorithm with only modest complexity.

The problem of concealing the second class or errors when high-bit planes are damaged by proposing a new approach based on the theory of projections on to convex sets is addressed. The problem is overcome by applying an adaptive solution, which exploits an edge map to choose the optimal filter mask size.

An error-concealment technique for shape in MPEG-4 object-based video coating is presented. The method is based on using global motion estimation and compensation techniques for boundary recovery.

The problem of transmitting embedded encoded object-oriented images over the packet-erasure networks is investigated. A novel weighted unequal error protection (WUEP) packetization scheme is proposed after reviewing the existing combined unequal error protection (CUEP) and individual unequal error protection (IUEP) schemes.

A framework of hiding large volumes of data in images while incurring minimal perceptual degradation is proposed. Findings show that by appropriate use of soft decisions, the information-theoretic hiding capacity can be approached under AWGN attacks.