IIIT Hyderabad Publications |
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Efficient and Rich Annotations for Large Photo CollectionsAuthors: Jayaguru Panda, C V Jawahar Conference: ACPR 2013 Date: 2013-11-05 Report no: IIIT/TR/2013/122 AbstractLarge unstructured photo collections from Inter- net usually have distinguishable keyword tagging associated with the images. Photos from tourist and heritage sites can be described with detailed and part-wise annotations resulting in an improved automatic search and enhanced photo browsing experience. Manually annotating a large community photo collection is a costly and redundant process as similar images share the same annotations. We demonstrate an interactive web-based annotation tool that allows multiple users to add, view, edit and suggest rich annotations for images in com- munity photo collections. Since, distinct annotations could be few, we have an easy and efficient batch annotation approach using an image similarity graph, pre-computed with instance retrieval and matching. This helps in seamlessly propagating annotations of the same objects or similar images across the entire dataset. We use a database of 20 K images (Heritage- 20K) taken from a world-famous heritage site to demonstrate and evaluate our annotation approach. Full paper: pdf Centre for Visual Information Technology |
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