Video Processing

We present an evaluation of different linear solvers suitable for least-squares problems emanating from image processing applications such as image domain warping.

Synthetically generating images and video frames of complex 3D scenes using some photo-realistic rendering software is often prone to artifacts and requires expert knowledge to tune the parameters.

In this work, we devise an efficient video retargeting algorithm by following an algorithm-architecture co-design approach and we present the first FPGA implementation that is able to retarget full HD 1080p video at up to 60 frames per second.

This paper presents a real-time processing platform for high-definition stereo video.

Nonlinear image warping or image resampling is a necessary step in many current and upcoming video applications, such as video retargeting, stereoscopic 3-D mapping, and multiview synthesis.

We introduce a single unifying framework for a wide range of content-aware image warping tasks using a finite element method (FEM).

We investigate new methods for compositing live action stereo 3D, given two stereo camera systems and a corresponding depth map.

Current trends in video technology indicate a significant increase in spatial and temporal resolution of video data. Recently, a linear-runtime feature diffusion algorithm was presented which aims for fast and accurate processing of such high-resolution data.

In this paper, a method for efficient warp coding is presented. Coded warps are transmitted together with stereo or multi-view video to enable additional functionalities at the receiver-side through image-domain-warping, e.g. depth adaption for stereo displays or support of multi-view autostereoscopic Displays.

This paper provides details on a complete integration of Content adaptive Spatial Scalability (CASS) into the scalable video coding extension of H.264/AVC (SVC).