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In this paper, a novel motion-information-based 3D video coding method is proposed for texture plus depth video, which addresses the issue that the traditional motion estimation methods cannot work well for all types of motion.
The global motion information is exploited to :
1. project the reference frames to the view of current-to- be-encoded frame,
2. The motion compensated virtual frame becomes more similar to the current-to-be-encoded frame.

In recent years, text recognition has achieved remarkable success in recognizing scanned document text. However, word recognition in natural images is still an open problem, which generally requires time consuming post-processing steps. We present a novel architecture for individual word detection in scene images based on semantic segmentation. Our contributions are twofold: the concept of WordFence, which detects border areas surrounding each individual word and a novel pixelwise weighted softmax loss function which penalizes background and emphasizes small text regions.

High-dynamic-range imaging (HDRI) techniques are proposed to extend the dynamic range of captured images against
sensor limitation. The key issue of multi-exposure fusion in HDRI is removing ghost artifacts caused by the motion of moving objects and handheld cameras. This paper proposes a ghost-free HDRI algorithm based on visual salience and
stack extension. To improve the accuracy of ghost areas detection, visual salience based bilateral motion detection is

Efficient Large-Scale Video Understanding in The Wild