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Seam Carving is a content-aware resizing method capable of modifying the width or height of pictures. This algorithm applies an energy function to evaluate the importance of each pixel. In special cases, such as images that contain people, the method frequently presents deformation of objects, due the energy function not being able to detect a person. In this context, this paper presents a modification of the energy function used in seam carving aiming to better preserve people in images. This energy function is generated from a neu- ral network that has as input arguments the color of the skin in order to classify the pixel in skin or non-skin.

Detecção de cor da pele na melhoria do redimensionamento de imagem baseado em conteúdo