IEEE Trans Image Process - Video tonal stabilization via color states smoothing.

Tópicos

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Resumo

We address the problem of removing video color tone jitter that is common in amateur videos recorded with hand-held devices. To achieve this, we introduce color state to represent the exposure and white balance state of a frame. The color state of each frame can be computed by accumulating the color transformations of neighboring frame pairs. Then, the tonal changes of the video can be represented by a time-varying trajectory in color state space. To remove the tone jitter, we smooth the original color state trajectory by solving an L1 optimization problem with PCA dimensionality reduction. In addition, we propose a novel selective strategy to remove small tone jitter while retaining extreme exposure and white balance changes to avoid serious artifacts. Quantitative evaluation and visual comparison with previous work demonstrate the effectiveness of our tonal stabilization method. This system can also be used as a preprocessing tool for other video editing methods.

Resumo Limpo

address problem remov video color tone jitter common amateur video record handheld devic achiev introduc color state repres exposur white balanc state frame color state frame can comput accumul color transform neighbor frame pair tonal chang video can repres timevari trajectori color state space remov tone jitter smooth origin color state trajectori solv l optim problem pca dimension reduct addit propos novel select strategi remov small tone jitter retain extrem exposur white balanc chang avoid serious artifact quantit evalu visual comparison previous work demonstr effect tonal stabil method system can also use preprocess tool video edit method

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