Augmenting Photographs with Audio
نویسندگان
چکیده
منابع مشابه
Augmenting Environmental Interaction in Audio Feedback Systems
Seunghun Kim 1, Graham Wakefield 2 and Juhan Nam 1,* 1 Graduate School of Culture Technology, KAIST, Daejeon 34141, Korea; [email protected] 2 Arts, Media, Performance & Design, York University, Toronto, ON M3J 1P3, Canada; [email protected] * Correspondence: [email protected]; Tel.: +82-42-350-2926 † This paper is an extended version of paper published in the 41st International Compu...
متن کاملProcessing 3D Geo-Information for Augmenting Georeferenced and Oriented Photographs with Text Labels
Online photo libraries face the problem of organizing their rapidly growing image collections. Fast and reliable image retrieval requires good qualitative captions added to a photo; however, this is considered by photographers as a time-consuming and annoying task. In order to do it in a fully automated way, the process of augmenting a photo with captions or labels starts by identifying the obj...
متن کاملReconstructing head models from photographs for individualized 3D-audio processing
Visual fidelity and interactivity are the main goals in Computer Graphics research, but recently also audio is assuming an important role. Binaural rendering can provide extremely pleasing and realistic three-dimensional sound, but to achieve best results it’s necessary either to measure or to estimate individual Head Related Transfer Function (HRTF). This function is strictly related to the pe...
متن کاملReal-time Dissonancizers: Two Dissonance-augmenting Audio Effects
We present two simple perceptually motivated audio effects designed to increase the perceived sensory dissonance/roughness (a process we call “dissonancization”) of audio input. The first involves heterodyning multiple bands of the audio signal at different frequencies to break each sinusoid in each band into two sinusoids separated in frequency by the amount that Kameoka and Kuriyagawa [1] pre...
متن کاملAutomatically augmenting an emotion dataset improves classification using audio
In this work, we tackle a problem of speech emotion classification. One of the issues in the area of affective computation is that the amount of annotated data is very limited. On the other hand, the number of ways that the same emotion can be expressed verbally is enormous due to variability between speakers. This is one of the factors that limits performance and generalization. We propose a s...
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: Personal Technologies
سال: 2000
ISSN: 0949-2054,1433-3066
DOI: 10.1007/s007790070003