45 research outputs found

    Improved Video Content Indexing by Multiple Latent Semantic Analysis

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    Low-level features are now becoming insufficient to build efficient content-based retrieval systems. Users are not interested any longer in retrieving visually similar content, but they expect retrieval systems to also find documents with similar semantic content. Bridging the gap between low-level features and semantic content is a challenging task necessary for future retrieval systems. Latent Semantic Analysis (LSA) was successfully introduced to efficiently index text documents by detecting synonyms and the polysemy of words. We have successfully proposed an adaptation of LSA to model video content for object retrieval and semantic content estimation. Following this idea we now present a new model composed of multiple LSA's (M-LSA) to better represent the video content. In the experimental section, we make a comparison of LSA and M-LSA on two problems, namely object retrieval and semantic content estimation

    Analysis of layering-related linear features on comet 67P/Churyumov-Gerasimenko

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    We analysed layering-related linear features on the surface of comet 67P/Churyumov-Gerasimenko (67P) to determine the internal configuration of the layerings within the nucleus. We used high-resolution images from the OSIRIS Narrow Angle Camera onboard the Rosetta spacecraft, projected onto the SHAP7 shape model of the nucleus, to map 171 layering-related linear features which we believe to represent terrace margins and strata heads. From these curved lineaments, extending laterally to up to 1925 m, we extrapolated the subsurface layering planes and their normals. We furthermore fitted the lineaments with concentric ellipsoidal shells, which we compared to the established shell model based on planar terrace features. Our analysis confirms that the layerings on the comet's two lobes are independent from each other. Our data is not compatible with 67P's lobes representing fragments of a much larger layered body. The geometry we determined for the layerings on both lobes supports a concentrically layered, `onion-shell' inner structure of the nucleus. For the big lobe, our results are in close agreement with the established model of a largely undisturbed, regular, concentric inner structure following a generally ellipsoidal configuration. For the small lobe, the parameters of our ellipsoidal shells differ significantly from the established model, suggesting that the internal structure of the small lobe cannot be unambiguously modelled by regular, concentric ellipsoids and could have suffered deformational or evolutional influences. A more complex model is required to represent the actual geometry of the layerings in the small lobe

    Semantic video content indexing and retrieval

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    Latent semantic indexing for video content modeling and analysis

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    Latent semantic analysis for an effective region-­based video shot retrieval system

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    Hierarchical genetic fusion of possibilities

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    Partition sampling : an active learning selection strategy for large database annotation

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