We deal with the analysis of eye movements made on natural movies in free-viewing conditions. Saccades are detected and used to label two classes of movie patches as attended and non-attended. Machine learning techniques are then used to determine how well the two classes can be separated, i.e., how predictable saccade targets are. Although very simple saliency measures are used and then averag...

Movies are produced as unique prototypic media content to serve a highly uncertain demand. Film producers have to address the consumption risk while their projects are still in their development phase. This paper provides a literature review of key risk dimensions of movie projects and how to control them. The interviews conducted with movie producers have made it possible to compare the indust...

Social media has become highly popular in recent years that people are expressing their views, thoughts about any product, movie through reviews. Reviews are having a great influence on people and decisions made by them. This has led researchers and market analyzers to analyze the opinions of users in reviews and model their preferences. Sometimes reviews are also scored in terms of satisfactio...

The aim of this study was to analyze the movie "Hachiko: A Dog's Story" in terms empathy and solidarity with animals. For purpose, scenes were interpreted on basis empathic reactions towards animals (cognitive affective; self/other-oriented) (emotions behaviors such as attachment, belonging, intimacy, cooperation). is about attachment between a dog human, it encourages viewers understand attach...

This study investigated the interaction effect between a mood and an implicit hint on insight problem solving. A total of 60 undergraduate students participated in a 3 (mood: happy, sad, neutral) × 2 (subliminal priming: hint, no-hint) factorial between-participants experiment. In the happy and sad conditions, they described a life event that had made them feel happy or sad. In the neutral cond...

Recommender systems have grown extremely in day to day life, and it is very useful in a plenty of applications. Although the recommender system is very popular, there are some serious problems like cold start (unavailability of data for modeling algorithms) and sparsity (initial rating not available). This made people to step back in analyzing the functionality of those algorithms which leads t...

Human reasoning across experiential cases in episodic memory seems quite different from conventional artificial reasoning with conceptual representations by systematically manipulating them according to logical rules. One difference is that in humans linkages between particular experiences can apparently be made in a number of qualitatively different ways, forming recollective chains along diff...

Indian movie industry, notably Bollywood, has come a long way in the last two centuries. All in all, it has been a long story of nearly nine decades, with the early shaky screen images having been turned into a multi-pronged and vast economic empire. Today it is the biggest movie industry in the world in terms of number of films. The industry has produced approximately 27,000 feature films and ...