• ETRI Journal
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• v.28 no.2
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• pp.239-242
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• 2006

In this letter, we propose a new functionality to scalable video coding (SVC), that is, the support of multiple region of interests (ROIs) for heterogeneous display resolution. The main objective of SVC is to provide temporal, spatial, and quality scalability of an encoded bitstream. The ROI is an area that is semantically important to a particular user, especially users with heterogeneous display resolutions. Less transmission bandwidth is needed compared to when the entire region is transmitted/decoded and then sub-sampled or cropped. To support multiple ROIs in SVC, we adopt flexible macroblock ordering (FMO), a tool defined in H.264, and based on it, we propose a way to encode and, independently, decode ROIs. The proposed method is implemented on the joint scalable video model (JSVM) and its functionality verified.

• The KIPS Transactions:PartB
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• v.11B no.3
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• pp.289-296
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• 2004

General watermarking techniques tend not to consider intrinsic characteristics of image, so that watermarks are embeded to entire images. In this paper, we present a watermarking algorithm based on wavelet domain, and the watermark is embedded into large coefficients in region of interest(ROI) being based on principle of multi-threshold watermark coding(MTWC) for robust watermark insertion. We try to accomplish both image duality and robustness using human visual system(HVS). The watermarks are embedded in middle frequency bands because the distortion degree of watermarked images appears to be less than lower frequency bands, and the embedded watermarks in the middle bands showed high extraction ratios after some distortion. The watermarks are consisted of pseudo random sequences and detected using Cox's similarity mesurement.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.853-856
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• 2004

Image data processing on the region of interest (ROI) for providing the primary information is needed the view of saving search time and bandwidth over image communications related to web browsing, image database, and telemedicine, etc. Hence, the issue on extracting the region of interest is drawing a plenty of attention for the communication environment with a relatively low bandwidth such as mobile internet. In this paper, we propose a improved standard Maxshift method. The proposed algorithm compress image that includes multiple ROI using Maxshift method in Part 1 of JPEG2000. Simulation results show that proposed method increases PSNR vs. compression ratio performance above the Maxshift method.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.1
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• pp.35-41
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• 2009

The H.264/SVC enables network-adaptive video transmission to smart device which uses wireless network. But, quality scalability of H.264/SVC does not consider personal subjective image quality. In addition, its network efficiency also does not optimized because it uses MGS(Medium Grained Scalability) and CGS(Coarse Grained Scalability). Thus, this paper proposed a new scalable ROI algorithm for not only subjective image quality improvement but also network adaptation. To experiment our proposed a scheme, we added designed algorithm to JSVM(Joint Scalable Video Model) open source video codec of H.264/SVC. Experiment was performed according to the pre-defined scenario for simulating various network conditions. Finally, experimental result showed our proposed scalable ROI scheme. It is better than traditional non-selective scheme in subjective video quality.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.253-256
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• 2006

본 논문은 사용자의 인터랙션(user interaction)을 고려하여, 사용자가 관심을 가지는 영역에 대해서 최적화된 비디오 콘텐츠를 제공받을 수 있는 비디오 서비스 시스템을 제안한다. 본 논문에서 제안하는 사용자 인터랙티브티를 고려한 서비스 시스템은 SVC(Scalable Video Coding)의 다중 ROI를 사용한다. 또한 제안된 시스템에서는 다양한 방식의 비디오 품질과, 다중 ROI에 대한 선택 과정에서 콘텐츠 소비 주체와 시스템간의 쌍방향 제어 수단을 개발하고 콘텐츠의 관심 영역 지정 과정에서 사용자의 인터렉션 정보를 이용하는 방법을 제안한다. 제안하는 시스템의 유효성을 테스트하기 위해 사용자의 인터랙션에 의해 변환하는 SVC 콘텐트를 만들었고, 사용자 단말에 인터렉션 기능으로 SVC 콘텐츠를 디코딩하는 시스템을 구현하여 유용성을 검증하였다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.31-39
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• 2010

In some image processing system or the users who want to see a specific region of image simply, if a part of the image has higher quality than other regions, it would be a nice service. Specifically in mobile environments, preferential service was needed, as the screen size is small. So, JPEG2000 supplies this function. But this doesn't support the process to extract specific regions or service and does the functions to add some techniques. It is called by ROI(Region-of-Interest). In this paper, we use images including human faces, which are processed most preferentially and compressed with high quality. Before an image is served to the users, it is compressed and saved. Here, the face parts are compressed with higher quality than the background which are relatively with lower quality. This technique can offer better service with preferential transferring of the faces, too. Besides, whole regions of the image are compressed with same quality and after searching the faces, they can be preferentially transferred. In this paper, we use a face extraction approach based on neural network and the preferential processing with EBCOT of JPEG2000. For experimentation, we use images having several human faces and evaluate objectively and subjectively, and proved that this approach is a nice one.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.636-639
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• 2003

In this paper, we present a robust method for detecting other vehicles from n forward-looking CCD camera in a moving vehicle. This system uses edge and shape information to detect other vehicles. The algorithm consists of three steps: lane detection, ehicle candidate generation, and vehicle verification. First after detecting a lane from the template matching method, we divide the road into three parts: left lane, front lane, and right lane. Second, we set the region of interest (ROI) using the lane position information and extract a vehicle candidate from the ROI. Third, we use local orientation coding (LOC) edge image of the vehicle candidate as input to a pretrained neural network for vehicle recognition. Experimental results from highway scenes show the robustness and effectiveness of this method.

• Journal of Korea Multimedia Society
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• v.11 no.6
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• pp.796-806
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• 2008

This paper presents a blind video watermarking algorithm that has the robustness against spatial, temporal, and SNR scalability and transcoding for the copyright protection of video contents in heterogeneous multimedia service. The proposed process of watermark embedding and detecting is accomplished on base layer for considering spatial scalability. The watermark consists of the string and the ordering number of string for considering temporal scalability. Thus, each of frames has the bitstream of one character and a ordering number of its character. To robust against FGS, the proposed algorithm quantizes low and middle frequency coefficients in ROI region of each of frames and embeds its watermark bitstream into the specific bits of the quantized coefficients. Experimental results verified that the proposed algorithm satisfies the invisibility of watermark and also has the robustness against spatial scalability, temporal scalability and FGS.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.77-78
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• 2008

With advent of 3G mobile communication services, video telephony becomes one of the major services. However, due to a narrow channel bandwidth, the current video telephony services have not yet reached a satisfied level. In this paper, we propose an ROI (Region-Of-Interest) based improvement of visual quality for video telephony services with the H.264|MPEG-4 Part 10 (AVC: Advanced Video Coding) codec. To this end, we propose a face detection and tracking method to define ROI for the AVC codec based video telephony. Experiment results show that our proposed ROI based method allowed for improved visual quality in both objective and subjective perspectives.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.268-271
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• 2008

본 논문에서는 H.264/SVC(Scalability Video Coding)를 기반으로 한 ROI(Region Of Interest) 화질 개선 방법을 제안한다. H.264/SVC는 공간적, 시간적, 화질적 확장성을 지원하고 있다. 이로 인해 네트워크 환경과 모바일 기기에 더욱 적합하게 되었다. 하지만 이러한 확장성은 객관적인 화질 개선을 고려하여 설계되었다. 본 연구는 주관적인 화질 개선을 위해 관심 영역을 설정하였으며, 이를 위하여 관심 영역을 설정하기 위한 방법과 이를 효율적으로 전송하기 위한 효과적인 전송 방법을 제안한다. 또한 기존 SVC 확장성까지도 활용하는 화질 개선 방법을 제시 한다.