Context-aware features and robust image representations
نویسندگان
چکیده
منابع مشابه
Context-aware features and robust image representations
Local image features are often used to efficiently represent image content. The limited number of types of features that a local feature extractor responds to might be insufficient to provide a robust image representation. To overcome this limitation, we propose a context-aware feature extraction formulated under an information theoretic framework. The algorithm does not respond to a specific t...
متن کاملCARS: Learning Context-aware Representations for Context-aware Recommendations
Rich contextual information is typically available in many recommendation domains allowing recommender systems to model the subtle effects of context on preferences. Most contextual models assume that the context shares the same latent space with the users and items. In this work we propose CARS, a novel approach for learning context-aware representations for context-aware recommendations. We s...
متن کاملContext Aware Keypoint Extraction for Robust Image Representation
Tasks such as image retrieval, scene classification, and object recognition often make use of local image features, which are intended to provide a reliable and efficient image representation. However, local feature extractors are designed to respond to a limited set of structures (e.g. blobs or corners), which might not be sufficient to capture the most relevant image content. We discuss the l...
متن کاملContext-Aware Image Compression
We describe a physics-based data compression method inspired by the photonic time stretch wherein information-rich portions of the data are dilated in a process that emulates the effect of group velocity dispersion on temporal signals. With this coding operation, the data can be downsampled at a lower rate than without it. In contrast to previous implementation of the warped stretch compression...
متن کاملContext incorporation using context - aware language features
This paper investigates the problem of context incorporation into human language systems and particular in Sentiment Analysis (SA) systems. So far, the analysis of how different features, when incorporated into such systems, improve their performance, has been discussed in a number of studies. However, a complete picture of their effectiveness remains unexplored. With this work, we attempt to e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Visual Communication and Image Representation
سال: 2014
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2013.10.006