あらまし 人間の聴覚機能を計算機で実現しようという試みが活発に進められており、その枠組を総称して計算論的 聴覚情景分析 (Computational Auditory Scene Analysis: CASA)と呼ぶ。近年この研究分野における興味の対象は、 Bregmanが指摘した分凝要件 [1]に基づく混合音分離法の実現にある。CASAにおける多くの従来手法の間で共通す るのは、各時刻で独立に調波成分を見つけ出すための処理 (周波数方向の群化)と、抽出された調波成分特徴量の時系 列を時間方向にスムージングする処理 (時間方向の群化)を多段処理的に行っている点である。しかしながら、より良 い群化プロセスの実践のためには、これらは本来協調し合いながら行われるべきであり、個々の音源の時間周波数全 域に渡ったスペクトル構造を一挙に推定できる方法論が不可欠であると我々は考える。本稿では、この...

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It is well known that the context of a scene can have a strong effect on the identification of objects in the scene (e.g., Biederman, 1972). However, it is unclear what role global versus local context plays on episodic memory for objects. We present results from a series of experiments that evaluate the degree to which the global and local context contributes to memory performance: partial sce...

We describe the star and nebula visualization techniques used to create a 3D volumetric visualization of the Orion Nebula. The nebula’s ionization layer is modeled first as a surface model, derived from infrared and visible light observations. The model is imported into a volume scene graph-based volume visualization system to simulate the nebula’s emissive gases. Stars are rendered using Gauss...

In this paper, we propose a noise filtering scheme, which is based on a multichannel homomorphic transformation, for color photographic images corrupted by signal–dependent film grain noise. The proposed method performs the estimation of the noise parameter using the higher–order statistics (skewness or kurtosis) of the corrupted image and the filtered image statistics. This parameter estimatio...

We address the grounding of natural language to concrete spatial constraints, and inference of implicit pragmatics in 3D environments. We apply our approach to the task of text-to-3D scene generation. We present a representation for common sense spatial knowledge and an approach to extract it from 3D scene data. In text-to3D scene generation, a user provides as input natural language text from ...

We propose a family of image quality assessment (IQA) models based on natural scene statistics (NSS), that can predict the subjective quality of a distorted image without reference to a corresponding distortionless image, and without any training results on human opinion scores of distorted images. These ‘completely blind’ models compete well with standard non-blind image quality indices in ter...