Abstract
This research explores the interaction of textual and photographic information in image understanding. Specifically, it presents a computational model whereby textual captions are used as collateral information in the interpretation of the corresponding photographs. The final understanding of the picture and caption reflects a consolidation of the information obtained from each of the two sources and can thus be used in intelligent information retrieval tasks. The problem of building a general-purpose computer vision system withouta priori knowledge is very difficult at best. The concept of using collateral information in scene understanding has been explored in systems that use general scene context in the task of object identification. The work described here extends this notion by incorporating picture specific information. A multi-stage systemPICTION which uses captions to identify humans in an accompanying photograph is described. This provides a computationally less expensive alternative to traditional methods of face recognition. A key component of the system is the utilisation of spatial and characteristic constraints (derived from the caption) in labeling face candidates (generated by a face locator).
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This work was supported in part by ARPA Contract 93-F148900-000. I would like to thank William Rapaport for serving as my advisor in my doctoral work; Venu Govindaraju for his work on the face locator; and more recently, Rajiv Chopra, Debra Burhans and Toshio Morita for their work in the new implementation of PICTION as well as valuable feedback.
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Srihari, R.K. Use of captions and other collateral text in understanding photographs. Artif Intell Rev 8, 409–430 (1994). https://doi.org/10.1007/BF00849728
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DOI: https://doi.org/10.1007/BF00849728