Now showing items 1-10 of 10

    • 2D to cylindrical inverse projection of the wireless capsule endoscopy images 

      Liu Y; Tillo T; Xiao J; Lim E; Wang Z (IEEE, 2011)
      In this paper, a two-dimensional to three-dimensional mapping of the wireless capsule endoscopy (WCE) images is proposed as well as the alignment of the consecutive images. The aim of this project is to reduce the diagnosis ...
    • 3D video coding using motion information and depth map 

      Cheng F; Xiao J; Tillo T (IEEE Computer Society, 2015)
      In this paper, a motion-information-based 3D video coding method is proposed for the texture plus depth 3D video format. The synchronized global motion information of camcorder is sampled to assist the encoder to improve ...
    • Disparity Estimation Using Convolutional Neural Networks with Multi-scale Correlation 

      Jammal S; Tillo T; Xiao J (Springer, 2017)
      Disparity estimation is a long-standing task in computer vision and multiple approaches have been proposed to solve this problem. A recent work based on convolutional neural networks, which uses a correlation layer to ...
    • Image database encoding using HYBRID video encoder 

      Xiao J; Tillo T; Zhang X (IEEE, 2011)
      How to compress a set of images in an efficient way is one of the most popular research topics. Currently, one of the most preferred standards for compressing still images is JPEG2000 which mainly utilizes Discrete Wavelet ...
    • Is burst loss worse than random loss for video transmission? 

      Xiao J; Tillo T; Lin C (IEEE, 2011)
      Many papers have shown that burst loss causes more severe damage to the reconstructed video quality than random loss for the same packet loss rate. With traditional interleaving methods, the consecutive lost packet positions ...
    • Multi-resolution for disparity estimation with convolutional neural networks 

      Jammal S; Tillo T; Xiao J (IEEE, 2017)
      Disparity estimation is the process of obtaining the depth information from the left and right views of a particular scene. A recent work based on convolutional neural network (CNN) has achieved state-of-the-art performance ...
    • Real-time forward error correction for video transmission 

      Xiao J; Tillo T; Lin C; Zhao Y (IEEE, 2011)
      When the video streams are transmitted over the unreliable networks, forward error correction (FEC) codes are usually used to protect them. Reed-Solomon codes are block-based FEC codes. On one hand, enlarging the block ...
    • Real-time macroblock level bits allocation for depth maps in 3-D video coding 

      Xiao J; Tillo T; Yuan H (Springer, 2012)
      In the texture-plus-depth 3-D video format, the texture videos and depth maps will affect the quality of the synthesized views, this makes bits allocation for the depth maps indispensable. The existing bits allocation ...
    • Real-time video streaming exploiting the late-arrival packets 

      Xiao J; Tillo T; Lin C; Zhao Y (IEEE, 2012)
      For real-time video applications, such as video telephony service, the allowed maximum end-to-end transmission delay is usually fixed. The packets arriving at the destination out of the maximum end-to-end delay are treated ...
    • Video error concealment of P-frame using packets of the following frames 

      Cheng F; Xiao J; Zhi J; Tillo T (IEEE, 2012)
      For real-time video streaming over unreliable networks, the losses or delay of the video packets may deteriorate the video quality at the receiver side. The traditional temporal error concealment methods try to guess the ...