Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Does zooming improve image browsing?
Proceedings of the fourth ACM conference on Digital libraries
Does organisation by similarity assist image browsing?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
VisualRank: Applying PageRank to Large-Scale Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 18th international conference on World wide web
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Sequential photo browsing has become the most important function in the desktop and online image repository management systems, where existing systems typically display the photos in default orders such as the lexicographic order of the photo filename or the chronological order of the photo taken time. However, these browsing orders, especially when the browsing speed is fast, ignore the vision persistency characteristic of human visual systems, which results in inconsistent visual experience for photo viewers. To address this issue, we construct a photo relationship graph based on various kinds of visual features that complementarily reflect human visual perception. Then the seeking of visually consistent photo browsing sequence is cast into a traveling salesman problem which seeks an optimal path with minimum visual distance within the graph structure. Experiment results on sequential browsing of Flickr photo groups indicate that the proposed method clearly beats the other sequential photo browsing methods in terms of visual consistency.