Moitreya Chatterjee

Learn More
In this paper, we investigate the role of multiple context-based heart-rate variability descriptors for evaluating a person's psychological health, specifically anxiety disorders. The descriptors are extracted from visually sensed heart-rate signals obtained during the course of a semi-structured interview with a virtual human and can potentially integrate(More)
Our lives are heavily influenced by persuasive communication, and it is essential in almost any types of social interactions from business negotiation to conversation with our friends and family. With the rapid growth of social multimedia websites, it is becoming ever more important and useful to understand persuasiveness in the context of social multimedia(More)
The increasing prevalence of psychological distress disorders, such as depression and post-traumatic stress, necessitates a serious effort to create new tools and technologies to help with their diagnosis and treatment. In recent years, new computational approaches were proposed to objectively analyze patient non-verbal behaviors over the duration of the(More)
Persuasive communication and interaction play an important and pervasive role in many aspects of our lives. With the rapid growth of social multimedia websites such as YouTube, it has become more important and useful to understand persuasiveness in the context of online social multimedia content. In this paper, we present our results of conducting various(More)
Persuasive communication is an essential component of our daily lives, whether it is negotiating , reviewing a product, or campaigning for the acceptance of a point of view. With the rapid expansion of social media websites such as YouTube, Vimeo and ExpoTV, it is becoming ever more important and useful to understand persuasiveness in social multimedia(More)
Conventional multimedia annotation/retrieval systems such as Normalized Continuous Relevance Model (NormCRM)[7] require a fully labeled training data for a good performance. Active Learning, by determining an order for labeling the training data, allows for a good performance even before the training data is fully annotated. In this work we propose an(More)
Imposing expressions on expression-neutral human face images is an interesting application of human-computer-interaction, animation, entertainment and other such fields. The objective of this paper is to impose one of the six prototypic emotional expressions i.e., <i>Joy, Surprise, Disgust, Fear, Anger</i> and <i>Sorrow</i> to a given expression-neutral(More)
A novel graph theoretic approach is proposed for recognizing each of the six basic prototypic human emotional facial expressions from a video sequence. The feature used, called a Shape-Motion-Descriptor (SMD), is based on orientation-quantized gradient-weighted optical flow in a hierarchical manner. The basis of the SMD is learned using a codebook learning(More)
Human communication involves conveying messages both through verbal and non-verbal channels (facial expression, gestures, prosody, etc.). Nonetheless, the task of learning these patterns for a computer by combining cues from multiple modalities is challenging because it requires effective representation of the signals and also taking into consideration the(More)
The ever expanding multimedia content (such as images and videos), especially on the web, necessitates effective text query-based search (or retrieval) systems. Popular approaches for addressing this issue, use the query-likelihood model which fails to capture the user's information needs. In this work therefore, we explore a new ranking approach in the(More)