ACM Computing Surveys (CSUR)
Multimedia Systems - Special section on video libraries
Video retrieval using spatio-temporal descriptors
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Multiresolution instance-based learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A quick search method for audio and video signals based on histogram pruning
IEEE Transactions on Multimedia
Practical elimination of near-duplicates from web video search
Proceedings of the 15th international conference on Multimedia
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Content based retrieval of similar multimedia objects (e.g. images, text, and videos) is an important research issue in the field of multimedia database. In this demo, we present a fast and robust video clip searching system. This system consists of two major modules, namely, robust video representation and fast searching. Different from traditional key frame-based histogram methods, we employ the cumulative histogram to represent the ordinal features and color range features for a video segment. This representation provides a spatio-temporal description of the whole segment. Our experiment has shown it is effective for capturing the patterns of short video clips such as commercial, program lead in/out, flying logo in sports video, etc. In order to improve the performance in searching large video database, we introduce the index structure to deal with video search from the viewpoint of query processing (e.g. K-NN query, Range query, etc.) in high-dimensional spaces. Different query processing support different search tasks. In this demo, we employ the mrkd-tree index structure and the proposed video representation to fulfill fast and robust search of short video clips (i.e. news video lead-in/out, replay logo, commercial) in large video collections with the total length of 15 hours.