Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Measuring the descriptiveness of web comments
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Finding the best picture: cross-media retrieval of content
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Opinion summarization of web comments
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
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This paper investigates whether Web comments can be exploited for cross-media retrieval. Comparing Web items such as texts, images, videos, music, products, or personal profiles can be done at various levels of detail; our focus is on topic similarity. We propose to compare user-supplied comments on Web items in lieu of the commented items themselves. If this approach is feasible, the task of extracting and mapping features between arbitrary pairs of item types can be circumvented, and well-known text retrieval models can be applied instead - given that comments are available. We report on results of a preliminary, but nonetheless large-scale experiment which shows that, if comments on textual items are compared with comments on video items, topically similar pairs achieve a sufficiently high cross-media similarity.