and imperfect task in the best case, an unsolved problem in the worst. To this end we propose a robust mid-level representation that incorporates both harmonic and rhythmic information, without attempting full transcription. We describe a process for creating this representation automatically, directly from

In this paper we consider representations for use in models of the processing that occurs between the eardrum and our conscious experience of sound. We first list "good" properties for such mid-level representations, then present a framework within which to discuss some examples. We

applications, and future research directions are also discussed. Thesis Supervisor: Whitman Richards Title: Professor of Cognitive Science USING CONTOUR AS A MID-LEVEL REPRESENTATION OF MELODY by Adam Taro Lindsay Readers Certified by Barry Vercoe Professor of Media Arts and Sciences Program in Media Arts

Abstract not found

for the specific games and closely coupled with the use of game specific rules to detect events or highlights. There is a lack of internal representation and structure to be generic and applicable for many different sports. In this paper, we present a generic mid-level representation framework for semantic sports

structures (closed string vs graph), respectively. This paper aims at addressing the shape recognition problem by combining contour and skeleton into a mid-level of shape representation. To form a mid-level representation for shape contours, a recent work named Bag of Contour Fragments (BCF) is adopted

We propose a novel approach to both learning and detecting local contour-based representations for mid-level features. Our features, called sketch tokens, are learned using supervised mid-level information in the form of hand drawn contours in images. Patches of human generated contours

Abstract. We describe an approach for grouping trajectories extracted from a video that preserves motion discontinuities due, for instance, to occlusions, but not color or intensity boundaries. Our method takes as input trajectories with variable length and onset time, and outputs a membership function as well as an indicator function denoting the exemplar trajectory of each group. This can be used for several applications such as compression, segmentation, and background removal. 1

Abstract — Searching audio collections using high-level musical descriptors is a difficult problem, due to the lack of reliable methods for extracting melody, harmony, rhythm, and other such descriptors from unstructured audio signals. In the paper, we present a novel approach to melody

Partitioning handwriting into regions can be useful as a mid-level representation of what is written down. Applications that make use of handwriting can then processing these regions independently, such as rearranging the layout of the writing, without risking the destruction of the message