In region-of-interest (ROI)-based video coding, ROI parts of the frame are encoded with higher quality than non-ROI parts. At low bit rates, such encoding may produce attention-grabbing coding artifacts, which draw viewer's attention away from ROI, thereby degrading visual quality. this paper, we present a saliency-aware compression method for ROI-based coding. The proposed aims at reducing salient artifacts in order to keep user's on ROI. Further, allows saliency increase high frame, and...

In this paper we present a novel method for full-reference image quality assessment (IQA) of tone-mapped images displayed on standard low dynamic range (LDR) displays. Due to the compression caused by tone-mapping process mixture several artifacts and distortions may be produced in images. This makes very challenging. diversity such propose "bag features" (BOF) approach tackle problem. Specifically proposed number different perceptually relevant quality-related features are first extracted...

Error concealment in packet-loss-corrupted streaming video is inherently an under-determined problem, as there are insufficient number of well-defined criteria to recover the missing blocks perfectly. When a Region-of-Interest (ROI) based unequal error protection (UEP) scheme deployed during streaming-i.e., more visually salient regions strongly protected-a lost block likely be low saliency original frame. In this paper, we propose add low-saliency prior problem regularization term. It...

In this letter we present a novel no-reference image quality assessment (NR-IQA) method for the visual prediction of multiply-distorted color images. proposed method, to describe structure, number feature maps are first calculated based on Gaussian jet image. The popular local binary pattern operator is then applied computed measure any potential structural degradations caused by multiple distortions. performance was compared with 14 prominent full-reference IQA methods as well 11 NR-IQA two...

In this paper, a novel method is presented for producing energy-efficient images, i.e., images that consume less electrical energy on energy-adaptive displays, yet have the same or very similar perceptual quality to their original images. The proposed relies fact consumption of pixels in modern displays like OLED directly proportional luminance pixels. Hence, reduce an image, while at time preserving its quality, it image by one just-noticeable-difference (JND) threshold. To determine JND...

In region-of-interest (ROI) video coding, the part of frame designated as ROI is encoded with higher quality relative to rest frame. At low bit rates, coding artifacts in non-ROI parts may become salient and draw user's attention away from ROI, thereby degrading visual quality. this paper we propose a saliency-preserving framework for coding. This approach aims at reducing attention-grabbing order keep on ROI. Experimental results indicate that proposed method able improve rates.

The human visual system (HVS), like any other physical system, has limitations. For instance, it is known that the HVS can only sense content changes are larger than so-called just noticeable distortion (JND) threshold. Also, to reduce computational load on brain, attention mechanism deployed such regions with higher saliency processed priority less-salient regions. It also a modulatory effect JND thresholds. In this letter, we present novel pixel-wise estimation method considers interplay...

A number of methods have been recently proposed to highlight salient regions in images and videos. Considering the importance attention video quality evaluation, it would be useful know how accurate these are terms predicting viewers' gaze locations video. However, independent quantitative evaluations saliency lacking current literature. In this paper, we test nine different bottom-up detection models on a set standard sequences. The eye-tracking data from 15 viewers for first second...

In this paper we present a novel perceptually-based algorithm for color quantization that produces images consume less energy than conventionally quantized when displayed on modern energy-adaptive displays. To evaluate the performance of proposed algorithm, performed subjective study standard Kodak image database. Experimental results indicate is able to reduce consumption by 4.25% average, while achieving same or better quality as conventional quantization.

Just noticeable difference (JND) models are widely used for perceptual redundancy estimation in images and videos. A common method measuring the accuracy of a JND model is to inject random noise an image based on model, check whether JND-noise-contaminated perceptually distinguishable from original or not. Also, when comparing two different models, that produces with better quality at same level energy model. But both these cases, subjective test necessary, which very time consuming costly....

Error concealment in packet-loss-corrupted streaming video is inherently an under-determined problem, as there are insufficient number of well-defined criteria to recover the missing blocks perfectly. When a Region-of-Interest (ROI) based unequal error protection (UEP) scheme deployed during -- i.e., more visually salient regions strongly protected %(e.g., using strong Forward Correction (FEC) codes) lost block likely be low saliency original frame. In this paper, we propose add low-saliency...

End-to-end learning-based video compression has made steady progress over the last several years. However, unlike image coding, which already surpassed its handcrafted counterparts, on coding been slower. In this paper, we present learned conditional modes for (LCCM-VC), a model that competes favorably against HEVC reference software implementation. Our utilizes – rather than residual and introduces additional to improve performance. The efficiency is especially good in...

In this paper a novel method for the purpose of random texture defect detection using collection 1-D HMMs is presented. The sound textural content sample training images first encoded by compressed LBP histogram and then local patterns input textures are learned, in multiscale framework, through series according to codes which belong each bin histogram. hidden states these at different scales used as descriptor that can model normal behavior units inside images. optimal number (models)...

In this paper we present a high-level graphical simulator for video coding and transmission using the H.264/AVC standard. The main objective of developed is to build an overall communication system model including source encoding, channel modeling decoding in order interactively investigate performance various schemes face bandwidth constraints errors. can be employed as useful research or educational tool systems based on

In this paper, we investigate the impact of imperfect channel estimation on performance an inter-vehicular communication scheme with amplify-and-forward (AF) relaying. particular, derive a semi-analytical bit error rate (BER) expression for under consideration in presence errors. We consider BPSK modulation and model all transmission links cooperative system as cascaded Rayleigh fading. express derived terms correlation coefficients between their estimates. Simulation results are presented...

This paper presents a rotation-invariant texture descriptor, which is robust to noise. In the proposed method, given gray-scale image first filtered by set of Gabor wavelets filters. The filters are designed such that their half-peak magnitude support in frequency spectrum touch each other with no overlap reduce redundant information. After number local binary patterns called "Local Wavelets Binary Patterns" (LGWBPs) computed based on obtained responses via global measures. histogram LGWBPs...

In video transmission over packet-based networks, packet losses often occur in bursts. this paper, we present a novel packetization method for increasing the robustness of compressed against bursty losses. The proposed is based on creating coding order macroblocks (MBs) so that blocks are close to each other end up being far from frame. We formulate idea as discrete optimization problem, prove its NP-hardness, and discuss several possible solution methods. Experimental results indicate...