Igor D. D. Curcio

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In this work we propose methods that exploit context sensor data modalities for the task of detecting interesting events and extracting high-level contextual information about the recording activity in user generated videos. Indeed, most camera-enabled electronic devices contain various auxiliary sensors such as accelerometers, compasses, GPS receivers,(More)
Multimedia streaming is one of the most popular services today. When the user is in a mobile scenario, the delivery of multimedia streaming services becomes more challenging. Mobile streaming suffers from discontinuous playback that sometimes impairs user experience. Among other factors, this is also due to the high network bandwidth variation that a user(More)
This paper presents a multimedia streaming service in a mobile (3G) environment that, in addition to in-band congestion signals such as packet losses and delay variations, receives congestion cues from a Network Coverage Map Service (NCMS) to make rate-control decisions. The streaming client routinely queries the NCMS to assess the network conditions at(More)
IP-based Multimedia creation and consumption is becoming available on an increasing spectrum of devices ranging from low-powered portable devices like cell phones and PDA's to high powered static devices like desktops PCs and IPTVs. High-speed wireless and wire-line network access is becoming widespread. Multimedia services like IPTV, Video-on-demand and(More)
Assertions are widely known as a powerful tool to detect software faults during the debugging of software systems. Despite the maturity of software engineering tools, assertions are seldom used in practice. ASAP is a pre-processor for C programs which implements several concepts defmed in the theory of formal specification, such as preconditions,(More)
In literature, many studies about human perception of lip synchronization refer to experiences based on TV sets. In these cases, researchers give some hints on how easily humans percept lip synchronization problems. The in-sync region is typically known to be in the range -80ms to +80ms. Within this range most of the test candidates does not detect any lip(More)
We present a robust multimodal approach for classifying the sport genre in videos recorded by mobile phone users at a sport event. In addition to traditional audio-visual content analysis tools, we propose to analyze auxiliary sensor data (electronic compass data and accelerometer data) captured simultaneously with the video recording. By means of machine(More)