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Image retrieval has been receiving increasing interest due to the vast amount of images publicly available on the Internet. Most image sharing sites, such as FlickR, allow for text/tag-based image searching. In the research community, content-based image retrieval has been under investigation since the early 1990s. The tutorial will give show approaches to fusing the efforts from content-based image retrieval with the available text-based image searching solutions, including multi-lingual approaches. Therefore, a short introduction into content-based image retrieval and text-retrieval will be given. Different approaches to fusing these will be discussed and further topics such as user-interaction, retrieval system architecture, and benchmarking issues will be presented.