Learning to summarize web image and text mutually
We consider the problem of learning to summarize images by text and visualize text utilizing
images, which we call Mutual-Summarization. We divide the web image-text data space into
three subspaces, namely pure image space (PIS), pure text space (PTS) and image-text joint
space (ITJS). Naturally, we treat the ITJS as a knowledge base. For summarizing images by
sentence issue, we map images from PIS to ITJS via image classification models and use
text summarization on the corresponding texts in ITJS to summarize images. For text …
images, which we call Mutual-Summarization. We divide the web image-text data space into
three subspaces, namely pure image space (PIS), pure text space (PTS) and image-text joint
space (ITJS). Naturally, we treat the ITJS as a knowledge base. For summarizing images by
sentence issue, we map images from PIS to ITJS via image classification models and use
text summarization on the corresponding texts in ITJS to summarize images. For text …
[CITATION][C] Learning to summarize Web image and text mutually
L Piji, M Jun, G Shuai - Proceedings of the 2nd ACM International Conference …, 2012
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