Sports videos are blowing up over the internet with enriching material life and the higher pursuit of spiritual life of people. Thus, automatically identifying and detecting helpful information from videos have arisen as a relatively novel research direction. Accordingly, the present work proposes a Human Pose Estimation (HPE) model to automatically classify sports videos and detect hot spots in videos to solve the deficiency of traditional algorithms. Firstly, Deep Learning (DL) is introduced. Then, amounts of human motion features are extracted by the Region Proposal Network (RPN). Next, an HPE model is implemented based on Deep Convolutional Neural Network (DCNN). Finally, the HPE model is applied to motion recognition and video classification in sports videos. The research findings corroborate that an effective and accurate HPE model can be implemented using the DCNN to recognize and classify videos effectively. Meanwhile, Big Data Technology (BDT) is applied to count the playing amounts of various sports videos. It is convinced that the HPE model based on DCNN can effectively and accurately classify the sports videos and then provide a basis for the following statistics of various sports videos by BDT. Finally, a new outlook is proposed to apply new technology in the entertainment industry.

Submission of an original paper with copyright agreement and authorship responsibility.I (corresponding author) certify that I have participated sufficiently in the conception and design of this work and the analysis of the data (wherever applicable), as well as the writing of the manuscript, to take public responsibility for it. I believe the manuscript represents valid work. I have reviewed the final version of the manuscript and approve it for publication. Neither has the manuscript nor one with substantially similar content under my authorship been published nor is being considered for publication elsewhere, except as described in an attachment. Furthermore I attest that I shall produce the data upon which the manuscript is based for examination by the editors or their assignees, if requested.Thanking you.

In the light of researches aim knowing the counselling needs for students of Institute of Physical Education and Sport, University of Abdel Hamid Ibn Badis Mostaganem (Algeria), the researcher suggest that there are many counselling needs for students this Institute, so the researcher choose the sample by using random level method of (480) students divided into two samples for building and applying uses, to achieve goals of research the researcher build research tool represented by showing counselling needs consisted of (7) fields of (81) items, placing in front of each one three replacements (always, sometime, never) then correct them by giving marks as (1,2,3) respectively, then the researcher analyzes counselling needs in its final form on applying sample of (120) students (male and female) for students Institute of Physical Education and Sport, University of Abdel Hamid Ibn Badis Mostaganem. After treating the results statistically, results showed that there are (38) counselling needs should be saturated inside the students of Institute. In the lights of research's results the researcher insisted on taking the advantages of studying counselling needs for students of physical education institute in developing counselling programs in the Institute and build it on a scientific bases emanated from a real needs of students.

Submission of an original paper with copyright agreement and authorship responsibility.I (corresponding author) certify that I have participated sufficiently in the conception and design of this work and the analysis of the data (wherever applicable), as well as the writing of the manuscript, to take public responsibility for it. I believe the manuscript represents valid work. I have reviewed the final version of the manuscript and approve it for publication. Neither has the manuscript nor one with substantially similar content under my authorship been published nor is being considered for publication elsewhere, except as described in an attachment. Furthermore I attest that I shall produce the data upon which the manuscript is based for examination by the editors or their assignees, if requested.Thanking you.