For a procam to preserve the color appearance of an image projected on a color surface, the photometric distortion introduced by the color surface has to be properly compensated. The performance of such photometric compensation relies on an accurate estimation of the projector nonlinearity. In this paper, we improve the accuracy of projector nonlinearity estimation by taking inter-pixel coupling into consideration. In addition, to respond quickly to the change of projection area due to projector movement, we reduce the number of calibration patterns from six to one and use the projected image as the calibration pattern. This greatly improves the computational efficiency of re-calibration that needs to be performed on the fly during a multimedia presentation without breaking its continuity. Both objective and subjective results are provided to illustrate the effectiveness of the proposed method for color compensation.

Connectionist temporal classification (CTC) is a powerful approach for sequence-to-sequence learning, and has been popularly used in speech recognition.The central ideas of CTC include adding a label "blank" during training.With this mechanism, CTC eliminates the need of segment alignment, and hence has been applied to various sequence-to-sequence learning problems.In this work, we applied CTC to abstractive summarization for spoken content.The "blank" in this case implies the corresponding input data are less important or noisy; thus it can be ignored.This approach was shown to outperform the existing methods in term of ROUGE scores over Chinese Gigaword and MATBN corpora.This approach also has the nice property that the ordering of words or characters in the input documents can be better preserved in the generated summaries.

Recent study in vision science has shown that blue light in a certain frequency band affects human circadian rhythm and impairs our health. Although applying a light blocker to an image display can block the harmful blue light, it inevitably makes an image look like an aged photo. In this paper, we show that it is possible to reduce harmful blue light while preserving the blue appearance of an image. Moreover, we optimize the spectral transmittance profile of blue light blocker based on psychophysical data and develop a color compensation algorithm to minimize color distortion. A prototype using notch filters is built as a proof of concept.