Color Correction Preprocessing for Multiview Video Coding

Doutre, Colin; Nasiopoulos, Panos

doi:10.1109/tcsvt.2009.2022780

Cited by 59 publications

(41 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The test sequences are in YUV 4:2:0 format and have been already rectified using the homography matrix. For our experiment, before encoding is performed by our proposed scheme or by MVC standard, all the test sequences have been color-corrected using the technique recommended in [8].…”

Section: Experiments and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

An efficient low random-access delay panorama-based multiview video coding scheme

Pourazad

Nasiopoulos

Ward

2009

2009 16th IEEE International Conference on Image Processing (ICIP)

Self Cite

View full text Add to dashboard Cite

We present an efficient low random delay scheme for multiview video coding (MVC). In the proposed scheme, inter-view prediction (disparity estimation), which introduces timeconsuming computations and random access delay to MVC, is replaced with a residue-stream coding process. Our algorithm transforms the middle view to a panoramic view of the scene. Then the residue streams are created as the difference of the luma and chroma values of overlapping regions of each view and the panoramic view. Finally the panoramic stream and all residue streams are encoded separately (simulcast coding). The hierarchical B picture prediction structure is implemented for coding each stream. Performance evaluations show that our proposed coding method outperforms the recent multiview video coding standard by up to 2.13 dB PSNR and enhances the compression ratio by 24.6%, while reducing random-access delay by 50%.

show abstract

Section: Experiments and Discussionmentioning

confidence: 99%

“…In our implementation, we applied the colour-correction algorithm suggested in [8]. Figure 4 shows the block diagram of the redundancy reduction method implemented in our prediction structure.…”

Section: Panorama-view Creationmentioning

confidence: 99%

An efficient low random-access delay panorama-based multiview video coding scheme

Pourazad

Nasiopoulos

Ward

2009

2009 16th IEEE International Conference on Image Processing (ICIP)

Self Cite

View full text Add to dashboard Cite

show abstract

“…This allows the system to adapt the color restoration algorithm to the current environmental conditions and also to the task requirements. Colin et al propose a method for correcting the color of multiview video sets as a preprocessing step to compression [37]. Distinguished from a previous work, where one of the captured views is used as the color reference, they correct all views to match the average color of the set of views.…”

Section: Color Correctionmentioning

confidence: 99%

Color sensors and their applications based on real-time color image segmentation for cyber physical systems

Xiong

Shen

Yang

et al. 2018

J Image Video Proc.

View full text Add to dashboard Cite

Color information plays an important role in the color image segmentation and real-time color sensor, which affects the result of video image segmentation and correct real-time temperature value. In this paper, a novel real-time color image segmentation method is proposed, which is based on color similarity in RGB color space. According to the color and luminance information in RGB color space, the dominant color is determined at first, and then color similarity can be calculated with the proposed calculation method of color component, which creates a color-class map. Next, the information of the corresponding color-class map is utilized to classify the pixels. Due to the characteristic that thermal inks feature color values that change in real time as the temperature changes, the segmentation results of thermal ink can be used as a real-time color sensor. Then, we also propose a method of color correction and light source compensation for the sake of potential inaccuracy of its measures. We discuss the proposed segmentation method application combining with color sensor (thermal ink) in real-time color image segmentation for Cyber physical system (CPS) by the application in fire detection and summarize a new method in identifying fire in a video based on these characteristics. The experiments showed that the proposed method in vision-based fire detection and identification in videos was effective; the results were accurate and can be used in real-time analysis.

show abstract

“…In our implementation, we use a simple histogram-matching algorithm [9]. More complex algorithms [10], [11] can also be employed to correct the illumination and color variations. However, it should be noted that the global illumination compensation operation can help in correcting variations in global illuminations across the input images but does not correct for local illumination variations, such as varying shadows and reflections that are due to the presence of different foreground objects in each image.…”

Section: Proposed Algorithmmentioning

confidence: 99%

Background recovery from multiple images

Shrotre

Karam

2013

2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)

View full text Add to dashboard Cite

In this paper we propose an algorithm to extract the background by removing unwanted objects from multiple images of a scene with varying illumination conditions captured by a stationary camera. The variations in illumination from scene to scene are due to the possible presence of different illumination sources and different foreground objects causing different shadows and reflections in each scene. While this causes the background to be non-stationary when considering pixel intensities, the algorithm exploits the fact that the background is static while the foreground is non-stationary in a given feature space. The extracted foreground regions are treated as holes and are filled from one of the available images where the background at the corresponding position is un-occluded. The background pixels for filling the holes are selected based on a cost function that attempts to maximize the naturalness and perceived quality of the reconstructed background.

show abstract

Color Correction Preprocessing for Multiview Video Coding

Cited by 59 publications

References 17 publications

An efficient low random-access delay panorama-based multiview video coding scheme

An efficient low random-access delay panorama-based multiview video coding scheme

Color sensors and their applications based on real-time color image segmentation for cyber physical systems

Background recovery from multiple images

Contact Info

Product

Resources

About