• Journal of the Institute of Convergence Signal Processing
• /
• v.2 no.1
• /
• pp.38-43
• /
• 2001

This Paper suggests a new feature for shot detection, using the proposed robust feature from the DC image constructed by DCT DC coefficients in the MPEG video stream, and proposes the characterizing value that reflects the characteristic of kind of video (movie, drama, news, music video etc.). The key frames are pulled out from many frames by using the local minima and maxima of differential of the value. After original frame(not do image) are reconstructed for key frame, indexing process is performed through computing parameters. Key frames that are similar to user's query image are retrieved through computing parameters. It is proved that the proposed methods are better than conventional method from experiments. The retrieval accuracy rate is so high in experiments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2010.05a
• /
• pp.585-588
• /
• 2010

Recently, there is increasing concern about smart phone due to the release of Iphone and Android phone. Like the normal desktop application, using multimedia contents will have important role for smart phone application. The multimedia contents mentioned here mean Image and Video. The famous codecs for Image and video are Jpeg Mpeg and h.264, which is popular recently as a vedeo codec because of its high compression ratio compared with the other video codecs. In this paper, we will use Jpeg and H.264 encoded raw sequences. This paper will suggest how to decode and display effectively Jpeg and H.264 raw sequences arrived from socket stream. And we will show you the simulation result.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.7
• /
• pp.3599-3619
• /
• 2019

In human activity recognition system both static and motion information play crucial role for efficient and competitive results. Most of the existing methods are insufficient to extract video features and unable to investigate the level of contribution of both (Static and Motion) components. Our work highlights this problem and proposes Static-Motion fused features descriptor (SMFD), which intelligently leverages both static and motion features in the form of descriptor. First, static features are learned by two-stream 3D convolutional neural network. Second, trajectories are extracted by tracking key points and only those trajectories have been selected which are located in central region of the original video frame in order to to reduce irrelevant background trajectories as well computational complexity. Then, shape and motion descriptors are obtained along with key points by using SIFT flow. Next, cholesky transformation is introduced to fuse static and motion feature vectors to guarantee the equal contribution of all descriptors. Finally, Long Short-Term Memory (LSTM) network is utilized to discover long-term temporal dependencies and final prediction. To confirm the effectiveness of the proposed approach, extensive experiments have been conducted on three well-known datasets i.e. UCF101, HMDB51 and YouTube. Findings shows that the resulting recognition system is on par with state-of-the-art methods.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.6
• /
• pp.751-756
• /
• 2018

This research extracted traffic light from input video, recognized colors of traffic light, and suggested traffic light color recognizing algorithm applicable to manless autonomous vehicle or ITS by distinguishing signs. To extract traffic light, suggested algorithm extracted the outline with CEA(Canny Edge Algorithm), and applied HCT(Hough Circle Transform) to recognize colors of traffic light and improve the accuracy. The suggested method was applied to the video of stream acquired on the road. As a result, excellent rate of traffic light recognition was confirmed. Especially, ROI including traffic light in input video was distinguished and computing time could be reduced. In even area similar to traffic light, circle was not extracted or V value is low in HSV space, so it's failed in candidate area. So, accuracy of recognition rate could be improved.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.1
• /
• pp.37-43
• /
• 2023

Compressed still image or video bitstreams require protection from channel errors in a wireless channel. Embedded Zerotree Coding(EZW), SPIHT could have provided unprecedented high performance in image compression with low complexity. If bit error is generated by dint of wireless channel transmission problem, the loss of synchronization on between encoder and decoder causes serious performance degradation. But wavelet zerotree coding algorithms are producing variable-length codewords, extremely sensitive to bit errors. The idea is to partition the lifting coefficients. A many partition of lifting transform coefficients distributes channel error from wireless channel to each partition. Therefore synchronization problem that caused quality deterioration in still image and video stream was improved.

• Annual Conference of KIPS
• /
• 2021.11a
• /
• pp.704-707
• /
• 2021

Pigs' aggressive behavior represents one of the common issues that occur inside pigpens and which harm pigs' health and welfare, resulting in a financial burden to farmers. Continuously monitoring several pigs for 24 hours to identify those behaviors manually is a very difficult task for pig caretakers. In this study, we propose a lightweight video-based approach for monitoring pigs' aggressive behavior that can be implemented even in small-scale farms. The proposed system receives sequences of frames extracted from an RGB video stream containing pigs and uses MnasNet with a DM value of 0.5 to extract image features from pigs' ROI identified by predefined annotations. These extracted features are then forwarded to a lightweight LSTM to learn temporal features and perform behavior recognition. The experimental results show that our proposed model achieved 0.92 in recall and F1-score with an execution time of 118.16 ms/sequence.

• Proceedings of the IEEK Conference
• /
• 2000.09a
• /
• pp.709-712
• /
• 2000

본 논문에서는 인터 프레임(P-프레임) 압축으로 인해 발생되는 블록화 현상을 모델링 하고 기존에 정의된 제한요소를 효율적으로(reasonable) 축소하고 축소된 제한요소를 이용한 후처리를 통해 블록경계는 물론 블록 내부의 불연속을 효율적으로 제거하는 방법을 제안한다. 다음 프레임의 예측영상을 블록화가 제거된 영상을 사용함으로써 프레임간 영상 스트림에서도 주관적으로나 객관적으로나 현저하게 블록화가 제거된 영상을 얻을 수 있다. 제안된 알고리즘은 HDTV나 영상통신과 같은 영상 스트림의 후처리 과정에 적합하다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2012.06d
• /
• pp.38-40
• /
• 2012

비디오 서버는 다수의 비디오 요청을 동시에 서비스하기 때문에 통신망 대역폭을 공평하고 효율적으로 활용하는 것이 중요하다. 모바일 통신망에서 클라이언트들의 재생 버퍼 수준을 이용하여 VBR 비디오 스트림을 전송하는 스케쥴링 알고리즘들이 본 논문에서 제시되었다. 요청된 비디오 재생시 서비스 품질과 실시간적 성능을 향상시키기 위하여 비디오 서버는 일시적으로 버퍼 수준이 낮은 비디오 요청 작업을 우선적으로 서비스하고자 더 많은 대역폭을 할당하는 실시간 스케쥴링 알고리즘을 수행한다. 버퍼 수준이 상이한 모바일 클라이언트들에게 공평한 서비스와 부하 균형이 제공되는 시뮬레이션 결과가 나타났다.

• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10c
• /
• pp.285-287
• /
• 1998

본 논문에서는 다양한 멀티미디어 스트림(multimedia stream)을 재생할 수 있는DirectShow SDK를 이용하여, 비디오의 특수효과를 구현하기 위한 변환 필터(Transform filter) 제작 방법에 대해 소개한다. DirectShow는 여러 가지 포맷(MPEG, AVI, MOV, WAV)으로 부호화된 digital movie나 sound를 재생할 수 있는 run-time(.ock)과 dynamic-link library (DLLs)를 제공하여 필터의 제작을 용이하게 한다. 본 논문에서는 디지털 영상 특수효과 중에서 Clip이라는 특수효과를 예로하여 변환 필터를 제작하는 방법을 소개한다. 또한 DirectShow Documentation에서 제공된 변환방법을 수정하여 변환필터의 입력 pin에서 출력 pin으로의 불필요한 복사를 줄임으로써 수행 속도를 개선하는 특수효과 구현 방법을 제시한다.

• Proceedings of the IEEK Conference
• /
• 2000.07b
• /
• pp.815-818
• /
• 2000

As the growth of internet and the diffusion of wide multimedia applications are increased, the ownership verification and authentication in communication channel for a digital image become more important. For these purpose there are many watermarking scheme available for image, video stream and audio data. In this paper we studied on techniques for integrity and authentication of digital images and proposed new watermarking algorithm. The proposed algorithm is implemented in C language on IBM-PC and the test results are shown.