This work presents a browser that supports two strategiesfor video browsing: the navigation through visual hierarchies and theretrieval of similar images. The input videos are firstly processed by akeyframe extractor to reduce the temporal redundancy and decrease thenumber of elements to consider. These generated keyframes are hierarchicallyclustered with the Hierachical Cellular Tree (HCT) algorithm,an indexing technique that also allows the creation of data structuressuitable for browsing. Different clustering criteria are available, in thecurrent implementation, based on four MPEG-7 visual descriptors computedat the global scale. The navigation can directly drive the user tofind the video timestamps that best match the query or to a keyframewhich is globally similar in visual terms to the query. In the latter case,a visual search engine is also available to find other similar keyframes,based as well on MPEG-7 visual descriptors.