Automatic summarization of broadcasted soccer videos with adaptive fast-forwarding

Abstract

When summarizing a video consisting of temporally continuous actions, e.g., surveillance videos or team-sport videos, fast-forwarding usually provides a better solution than content truncation to organize a semantically more complete and thus easily understandable story. Based on the resource allocation framework initially introduced in [1], we propose a fully automatic summarization system for broadcasted soccer videos, which supports adaptive fast-forwarding as well as content truncation. The proposed system involves two major contributions (i) an improved algorithm for refining the boundaries of far-view clips based on the extracted camera movement; (ii) a process to organize a summary by determining both the selected clips and their optimal fast-forwarding strategies, considering the scenechanging tempos of those clips and the given duration constraint. Experiments on real-life broad-casted soccer videos demonstrate the relevance and the efficiency of our proposed method.

Towards a format-agnostic approach for production, delivery and rendering of immersive media

“…The PSE's research problem of automatic camera selection and framing is multifaceted. Certain aspects of our approach can be compared to previous work on sports event summarization using multiple camera views [9] [10]. Automatic execution of cinematographic principles has also been investigated in the domain of videoconferencing [10].…”

“…Certain aspects of our approach can be compared to previous work on sports event summarization using multiple camera views [9] [10]. Automatic execution of cinematographic principles has also been investigated in the domain of videoconferencing [10]. Our aim is to work towards a generic framework that can be adapted to different production system increments, and also to different production genres.…”