Automatic extraction of highlights from a cricket video using MPEG-7 descriptors

Abstract

Sports videos appeal to a vast majority of people. Hence, video streaming of sports videos presents a profitable business opportunity. As a result, there is an astronomical increase in the amount of sports content available on the internet. Businesses and users face a new problem of perusing such large amounts of multimedia content quickly for the required information. One technique that can enable quick overview of multimedia content is video summarization.In this paper, an approach to summarize a cricket game video by using highlights extraction process is presented. The video is first segmented into shots. Key frames are extracted from each shot and low level features are extracted from the key frames. Feature are used to extract views or states. The states and their transitions in the cricket game are represented by a Hidden Markov Model, based on which the game highlights are extracted. The performance of the proposed summarization scheme is evaluated for accuracy.

Automatic summarization of cricket video events using genetic algorithm

“…[3,9,12,13]. Compared to other sports, less work has been done on cricket videos [6,8,10,11], probably due to the increased complexity of the game and long duration of the matches [11]. In this paper, we propose a novel technique for summarization of cricket video content.…”

Automatic summarization of broadcast cricket videos

“…This requires lots of annotated training data which increases manual intervention. For the recent cricket video summarization and expert systems please refer [13,14].…”

Representative Frame Decoration using unsharp filter in video summarization

“…These features are used as powerful tool in video summarization, indexing, and retrieval. Key frames can be extracted by using color information [2][3][4][5][6], motion based information [7][8], audio information [9-12], textual features [13][14][15], and spatial-temporal information [16][17]. Audio information is often utilized together with image features.…”