18,695 research outputs found
Sparse Transfer Learning for Interactive Video Search Reranking
Visual reranking is effective to improve the performance of the text-based
video search. However, existing reranking algorithms can only achieve limited
improvement because of the well-known semantic gap between low level visual
features and high level semantic concepts. In this paper, we adopt interactive
video search reranking to bridge the semantic gap by introducing user's
labeling effort. We propose a novel dimension reduction tool, termed sparse
transfer learning (STL), to effectively and efficiently encode user's labeling
information. STL is particularly designed for interactive video search
reranking. Technically, it a) considers the pair-wise discriminative
information to maximally separate labeled query relevant samples from labeled
query irrelevant ones, b) achieves a sparse representation for the subspace to
encodes user's intention by applying the elastic net penalty, and c) propagates
user's labeling information from labeled samples to unlabeled samples by using
the data distribution knowledge. We conducted extensive experiments on the
TRECVID 2005, 2006 and 2007 benchmark datasets and compared STL with popular
dimension reduction algorithms. We report superior performance by using the
proposed STL based interactive video search reranking.Comment: 17 page
Running up Blueberry Hill: Prototyping whole body interaction in harmony space
Musical harmony is considered to be one of the most abstract and technically difficult parts of music. It is generally taught formally via abstract, domain-specific concepts, principles, rules and heuristics. By contrast, when harmony is represented using an existing interactive desktop tool, Harmony Space, a new, parsimonious, but equivalently expressive, unified level of description emerges. This focuses not on abstract concepts, but on concrete locations, objects, areas and trajectories. This paper presents a design study of a prototype version of Harmony Space driven by whole body navigation, and characterizes the new opportunities presented for the principled manipulation of chord sequences and bass lines. These include: deeper engagement and directness; rich physical cues for memory and reflection, embodied engagement with rhythmic time constraints; hands which are free for other simultaneous activities (such as playing a traditional instrument); and qualitatively new possibilities for collaborative use
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